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Our Talend competency includes below offerings

What is Talend?

Talend unified solutions provide scalable and cost effective open source integration allowing your organization to get the maximum value from your data. Earlier businesses were often found to struggle with the issues of scalability and cost of product ownership and support in their business systems, as data continues to grow massively and at massive speed. Besides, there was not given too much heed over the open source technologies owing to system security and data integrity concerns, but in modern days, such have emerged to be the most versatile systems with resounding affordability ensured thereby. Hence, if a business has larger scheme of things to conduct analytics upon or if there is a limited version of analytics to applied, or if there is a preference towards customized ETL, Bigdata, MDM, ESB & Cloud solutions, BigData Dimension has consolidated an eclectic prowess in such open source Talend solutions at length.

Features of Talend

what-is-talend

NEED OF TALEND. FREQUENTLY ASKED QUESTIONS?

Talend has been in the market for last couple of years and has been completely developed based on an open source development methodology. It has a lot to offer and is designed in an agile way still maintaining a perfect balance following the SOA architecture, providing plug n play feature set in a corporate infrastructure. In our opinion below are 3 Top reasons why Talend is a sensible choice for corporates

  • Unlike other ETL tools Talend has around 800+ transformation where as the top market competitive tools e.g. (Informatica , Data stage , AbInitio etc. ) hardly have around 8-15 transformations. This gives an edge to Talend in terms of having very wide variety of source data feeds (both structured/unstructured) and archive the maximum on the native applications source (e.g. RDBMS , Hadoop systems etc.)
  • Since Talend is built in Java, it is very easy integrated with all OPEN source as well as licensed products, JAVA is the world’s most famous development language being used in cutting edge innovation technologies (e.g. Hadoop and it’s all new utilities Apache Spark, Kafka etc.). So, from a future perspective Talend is a safe choice.
  • The Talend architecture follow the SOA based approach and is very easily integrate able and adapt to change is easy , with the efficient Talend development community that keeps Talend Tools set up to date with the latest innovation makes it a perfect choice for a corporate Data integration .

To learn more about Talend and its tremendous features please go through http://www.talend.com/why-talend

Talend has been in the market since last couple of years and it has been making a good progress in acquiring more customers and reputable corporates. Talend is placed under the “Visionary” quadrant and is a competitive product to market leader in the data integration e.g. Data stage ,Informatica etc.

Please speak to our sales team to get more understanding about it and we can help you with our free assessment to come up with recommendation as per your need.

The big data technologies are mostly open source and hence are improving rapidly and getting mature at a very fast pace, it is a challenge to stay on top of the changing land scape of tools and technologies in big data technology stack. At big data dimension, we believe in re-using the existing skills, infrastructure and assists to shift smartly to big data platform technologies. Our recommendation is as follows

  • We advise that customer should try to use the market available tools to reduce the need to learn coding scripts/syntax and instead of take advantage of Talend which can enable your existing ETL developers/DWH Consultants to easily shift and re-write the data management logic in Talend which on the back end automatically translate it to the native Java code / Native target system code (e.g. Hadoop or RDBMS)

Please speak to our sales team in order take some help on Big Data technologies training or Training on Talend about its features and how effectively it can be used to upgrade your staff skills and meet the current challenges without losing existing staff and resources.

Talend has built in transformations to connect to a variety of RDBMS hosted on premises or on the cloud (e.g. RedShift, RDS services etc.). Also in cases of a remote application Talend does support the standard web services protocols an can ingest the information, transform and load to any required target (RDBMS /Cloud Based solution).

Talend transformations are all based in JAVA but the underlying algorithms are very efficient and performance is great. Talend can handle large volumes of data ( Million of records) in memory , we have done one POC where we put Talend to test and the results are impressive , details can be found at http://www.iri.com/blog/data-transformation2/optimizing-talend-transforms-with-cosort/

Talend is not limited to Data integration only and it is more than a Data integration tool. The Talend suit consists of multiple products ranging from data integration, data quality, data management to Big Data Analytics.   Talend offers a product “Talend on Big Data” that has the built in transformations to connect to a variety of structured/non structured data feeds (e.g. Twitter, Facebook etc.) and also offers the transformations to ingest data into Hadoop or any cloud based Solution (e.g. Redshift). The drag and drop visual transformation makes data integration works like a charm and at the same time the capability of Talend to translate that to Native platform code (e.g. in case of Hadoop its Hive,Pig Code) making development turn around very easy and performance efficient.

Talend aims to serve the corporate with minimal efforts and at the same time provides all the required functionality to integrate with the existing eco system.

Talend supports both ETL as well as ELT transformation methodology and provides the transformations to archive the desired functionality model. The Talend suite products are all eclipse based and follow a standard Java based project architecture, components are very user friendly with clear and to the point property settings, accompanied by the helpful wizards to make it more simple and less effort consuming for developers. The user community of Talend has been exponentially growing and the help contents are regularly updated and along with new components complete Step by step (screen shot based) samples are released. Talend support team are there to resolve any kind of issue in case of an issue and can serve corporate based on the service level agreement. Details can be found at the following URL. https://www.talendforge.org/forum/

Talend is a SOA based architecture solution and it has a suite of multiple products for data integration/Big data projects it has a Client-Server based architecture where you can create a repository of projects under a centralized server , create users groups and manage permissions/security aspects , do the change management ( supported by the backend SVN) , develop the project and promote to the other environments ( DEV > QA > UAT > PRODUCTION). Finally, there is a built-in web based scheduling tools that helps schedule the Talend jobs. The Talend suite has all these components to meet the needs of a data integration life cycle, however at the same time it’s very convenient to integrate /collaborate with existing tools. E.g. Talend provides a command line interfaces to interact with external tools like Tivoli, Control-M etc.

Talend Express 360 Solution: WHY US?

BigData Dimension is the eventual destination for availing premium Talend customization and implementation services, howsoever complex and challenging the task may appear to be, our widely experienced Talend experts implement tested and trusted techniques in reaching out to the desired solution.

As far as Talend goes, we’re one of the few best-of-breed Talend-focused systems integrators in the entire world. When it comes to your Talend deployment and getting the most out of it, we’re here for you with unmatched expertise. When enterprises align us, they are complemented by one of the most renowned Talend experts on US turf and our professionals make precise use of cutting-edge resources to their custom needs.

Needless to say, but all of our Talend based custom products are designed with a user friendly approach and provide help in swift development and in installing small or medium sized projects anywhere across the global network easily. Talend platform is pre-equipped with unique functionality which is all devoted to execute all of the dominant data services and to aid all of the sub-systems which centre around such processes, such as crucial big data and its virtual data integration, exceptional data quality, MDM and ESB. As a matter of relishing fact, some of our crew members worked hand in hand with Talend Professional Services and other renowned industry leaders on complex Talend implementation projects.

OUR TALEND SOLUTION ENHANCES DATA MANAGEMENT ACROSS INDUSTRIES

Ecommerce

Ecommerce Analytics

Travel

Travel Analytics

Retail Analytics

Food--Beverage

Food & Beverage Analytics

Healthcare Analytics

Financial Analytics

Fashion

Fashion Analytics

Supply Chain Analytics

Manufacturing Analytics

Food--Catering

Food & Catering Analytics

Pharma

Pharma Analytics

Telecom

TELECOM ANALYTICS

Healthcare Analytics

Financial Analytics

Fashion

Fashion Analytics

Supply Chain Analytics

Ecommerce

Ecommerce Analytics

Travel

Travel Analytics

Retail Analytics

Food--Beverage

Food & Beverage Analytics

Manufacturing Analytics

Food--Catering

Food & Catering Analytics

Pharma

Pharma Analytics

Telecom

TELECOM ANALYTICS

Healthcare Analytics

Financial Analytics

Fashion

Fashion Analytics

Supply Chain Analytics

Ecommerce

Ecommerce Analytics

Travel

Travel Analytics

Retail Analytics

Food--Beverage

Food & Beverage Analytics

Manufacturing Analytics

Food--Catering

Food & Catering Analytics

Pharma

Pharma Analytics

Telecom

TELECOM ANALYTICS

Healthcare Analytics

Financial Analytics

Fashion

Fashion Analytics

Supply Chain Analytics

Ecommerce

Ecommerce Analytics

Travel

Travel Analytics

Retail Analytics

Food--Beverage

Food & Beverage Analytics

Manufacturing Analytics

Food--Catering

Food & Catering Analytics

Pharma

Pharma Analytics

Telecom

TELECOM ANALYTICS

One can easily gain access to older data records lying at the older or legacy systems such as Mainframes and in such a scenario, a leading healthcare provider in US, simply relies upon Talend data integration to ferret out data from its legacy systems, mainframe database which involves production reporting dashboard systems, and data was also coming from various providers in xml and fix width format.

Users can spare huge funds by simply migrating away from legacy systems which call for higher maintenance or propriety frameworks to novel platforms which are more sophisticated and most economical too. In such a regard, leading financial company in US, opted for Talend based solution and culminated its IT transformation while keeping in mind, the need to comply with newly introduced regulatory guidelines.

Legacy databases can be harnessed efficiently through which, their stored data can be made available for ritual processing across platforms and this can be possible only when premium Talend Integration solution is being opted for. Take the case of leading fashion company in US, which is globally acclaimed fashion house and this preferred Talend data integration solution while trying to draw out data from its legacy system, {A/S 400} to store its data warehouse solution.

Users can consult with their partner software systems to integrate with, for the purpose of seamless data transfer across the supply chain. For instance, leading supply chain company in US accentuated upon Talend data integration for seeking collaboration with the suppliers.

Integration Success Enhancement With Clean Data

Clean data can be guaranteed for accessibility, reporting and for analytics purposes while structured data de-duplication, validation, standardization and enrichment is accomplished in a timely manner. Talend comes packed with built-in data quality features with which, applications can be integrated easily and Data and Big Data origin points can also be optimized pragmatically. Take the case of Aliaxis group, which counted upon Talend Data Quality to fetch correct data being fed into their info systems and such a function also prevented the existence of bad, corrupted or duplicated data.

Data Analysis on A Large Scale:

There are present relishing online platforms for plain business purpose such as auction centres, gaming platforms, e-shopping sites and so forth, which put forth massive amount of data from customers on a perpetual basis and which gets recorded in the big data stores (data lakes, for that matter). It is seen that absolute and timely analysis of such type of data proves to be hazardous for sound business objectives, but with Talend on your side, the process of big data integration gets simplified with graphical tools and wizards at use, in such analytics. For instance, Delivery Hero, which is an online food catering platform needed to transfer around 20 gigabytes of data which was secured as a result of its monthly activities, data was gathered from diverse locations and was fed into their centralized data warehouse. Further, such data needed to get transferred within minutes into the intended warehouse in a short time in order to facilitate BI queries could get latest results. Hence, they preferred Talend based big data solution to harness such a concern.

External upstream systems can be set up to draw out feeds to enable further processing. One of the leading food and beverage chain in US performs business-to-business data integration and it efficiently process information from numerous sources for a variety of reasons, such as for product offers from many reseller partners, for website users as well as for occasional retail systems.

Seamless connection can be made with any of the third party data store for the purpose of importing data, verifying it and also for regulatory and compliance reasons. For example, post code verification, OFAC check or for credit data MS Outlook among other ways. Take the case of a prominent travel enterprise in US with global presence selected Talend data integration in order to connect with MS Outlook to secure mails for their archives.

As we are regaled with mega sets of ready connectors (which are more than 450) and which are shipped with the product itself, Talend data integration renders swift data integration with widely prominent data sources in place. The case of prominent retailer operating on a worldwide scale and which titled towards Talend solution for the purpose of integrating their 100+ applications with the newly created e-commerce platform..

By the virtue of Talend data integration, a single but powerful platform is provided to access data through multiple sources, such as flat files and .csv to Oracle/MSsql type of RDBMS to any popular NoSql databases such as Mongo DB etc. In such a case, leading European marketplace portal, which facilitated buying and selling of automobile plans simply tried to harness its investment in Talend solutions in a bid to connect with MongoDB, a NoSql database.

Enhanced Utilization of Monetary Investment:

Enterprises allocate considerable funds for maintaining data quality and through Talend based solutions, data inconsistencies or duplicated or redundant data would be curtailed and the data storage would be optimized, in that way. For instance, Prodague, which sells fruits and vegetables, recorded higher productivity in their operations, when duplicate data entries were removed and consistency was automated a great deal.

Data Analysis on A Large Scale:

There are present relishing online platforms for plain business purpose such as auction centres, gaming platforms, e-shopping sites and so forth, which put forth massive amount of data from customers on a perpetual basis and which gets recorded in the big data stores (data lakes, for that matter). It is seen that absolute and timely analysis of such type of data proves to be hazardous for sound business objectives, but with Talend on your side, the process of big data integration gets simplified with graphical tools and wizards at use, in such analytics. For instance, Delivery Hero, which is an online food catering platform needed to transfer around 20 gigabytes of data which was secured as a result of its monthly activities, data was gathered from diverse locations and was fed into their centralized data warehouse. Further, such data needed to get transferred within minutes into the intended warehouse in a short time in order to facilitate BI queries could get latest results. Hence, they preferred Talend based big data solution to harness such a concern.

One can easily gain access to older data records lying at the older or legacy systems such as Mainframes and in such a scenario, a leading healthcare provider in US, simply relies upon Talend data integration to ferret out data from its legacy systems, mainframe database which involves production reporting dashboard systems, and data was also coming from various providers in xml and fix width format.

Users can spare huge funds by simply migrating away from legacy systems which call for higher maintenance or propriety frameworks to novel platforms which are more sophisticated and most economical too. In such a regard, leading financial company in US, opted for Talend based solution and culminated its IT transformation while keeping in mind, the need to comply with newly introduced regulatory guidelines.

Legacy databases can be harnessed efficiently through which, their stored data can be made available for ritual processing across platforms and this can be possible only when premium Talend Integration solution is being opted for. Take the case of leading fashion company in US, which is globally acclaimed fashion house and this preferred Talend data integration solution while trying to draw out data from its legacy system, {A/S 400} to store its data warehouse solution.

Users can consult with their partner software systems to integrate with, for the purpose of seamless data transfer across the supply chain. For instance, leading supply chain company in US accentuated upon Talend data integration for seeking collaboration with the suppliers.

Integration Success Enhancement With Clean Data

Clean data can be guaranteed for accessibility, reporting and for analytics purposes while structured data de-duplication, validation, standardization and enrichment is accomplished in a timely manner. Talend comes packed with built-in data quality features with which, applications can be integrated easily and Data and Big Data origin points can also be optimized pragmatically. Take the case of Aliaxis group, which counted upon Talend Data Quality to fetch correct data being fed into their info systems and such a function also prevented the existence of bad, corrupted or duplicated data.

Data Analysis on A Large Scale:

There are present relishing online platforms for plain business purpose such as auction centres, gaming platforms, e-shopping sites and so forth, which put forth massive amount of data from customers on a perpetual basis and which gets recorded in the big data stores (data lakes, for that matter). It is seen that absolute and timely analysis of such type of data proves to be hazardous for sound business objectives, but with Talend on your side, the process of big data integration gets simplified with graphical tools and wizards at use, in such analytics. For instance, Delivery Hero, which is an online food catering platform needed to transfer around 20 gigabytes of data which was secured as a result of its monthly activities, data was gathered from diverse locations and was fed into their centralized data warehouse. Further, such data needed to get transferred within minutes into the intended warehouse in a short time in order to facilitate BI queries could get latest results. Hence, they preferred Talend based big data solution to harness such a concern.

External upstream systems can be set up to draw out feeds to enable further processing. One of the leading food and beverage chain in US performs business-to-business data integration and it efficiently process information from numerous sources for a variety of reasons, such as for product offers from many reseller partners, for website users as well as for occasional retail systems.

Seamless connection can be made with any of the third party data store for the purpose of importing data, verifying it and also for regulatory and compliance reasons. For example, post code verification, OFAC check or for credit data MS Outlook among other ways. Take the case of a prominent travel enterprise in US with global presence selected Talend data integration in order to connect with MS Outlook to secure mails for their archives.

As we are regaled with mega sets of ready connectors (which are more than 450) and which are shipped with the product itself, Talend data integration renders swift data integration with widely prominent data sources in place. The case of prominent retailer operating on a worldwide scale and which titled towards Talend solution for the purpose of integrating their 100+ applications with the newly created e-commerce platform..

By the virtue of Talend data integration, a single but powerful platform is provided to access data through multiple sources, such as flat files and .csv to Oracle/MSsql type of RDBMS to any popular NoSql databases such as Mongo DB etc. In such a case, leading European marketplace portal, which facilitated buying and selling of automobile plans simply tried to harness its investment in Talend solutions in a bid to connect with MongoDB, a NoSql database.

Enhanced Utilization of Monetary Investment:

Enterprises allocate considerable funds for maintaining data quality and through Talend based solutions, data inconsistencies or duplicated or redundant data would be curtailed and the data storage would be optimized, in that way. For instance, Prodague, which sells fruits and vegetables, recorded higher productivity in their operations, when duplicate data entries were removed and consistency was automated a great deal.

Data Analysis on A Large Scale:

There are present relishing online platforms for plain business purpose such as auction centres, gaming platforms, e-shopping sites and so forth, which put forth massive amount of data from customers on a perpetual basis and which gets recorded in the big data stores (data lakes, for that matter). It is seen that absolute and timely analysis of such type of data proves to be hazardous for sound business objectives, but with Talend on your side, the process of big data integration gets simplified with graphical tools and wizards at use, in such analytics. For instance, Delivery Hero, which is an online food catering platform needed to transfer around 20 gigabytes of data which was secured as a result of its monthly activities, data was gathered from diverse locations and was fed into their centralized data warehouse. Further, such data needed to get transferred within minutes into the intended warehouse in a short time in order to facilitate BI queries could get latest results. Hence, they preferred Talend based big data solution to harness such a concern.

One can easily gain access to older data records lying at the older or legacy systems such as Mainframes and in such a scenario, a leading healthcare provider in US, simply relies upon Talend data integration to ferret out data from its legacy systems, mainframe database which involves production reporting dashboard systems, and data was also coming from various providers in xml and fix width format.

Users can spare huge funds by simply migrating away from legacy systems which call for higher maintenance or propriety frameworks to novel platforms which are more sophisticated and most economical too. In such a regard, leading financial company in US, opted for Talend based solution and culminated its IT transformation while keeping in mind, the need to comply with newly introduced regulatory guidelines.

Legacy databases can be harnessed efficiently through which, their stored data can be made available for ritual processing across platforms and this can be possible only when premium Talend Integration solution is being opted for. Take the case of leading fashion company in US, which is globally acclaimed fashion house and this preferred Talend data integration solution while trying to draw out data from its legacy system, {A/S 400} to store its data warehouse solution.

Users can consult with their partner software systems to integrate with, for the purpose of seamless data transfer across the supply chain. For instance, leading supply chain company in US accentuated upon Talend data integration for seeking collaboration with the suppliers.

Integration Success Enhancement With Clean Data

Clean data can be guaranteed for accessibility, reporting and for analytics purposes while structured data de-duplication, validation, standardization and enrichment is accomplished in a timely manner. Talend comes packed with built-in data quality features with which, applications can be integrated easily and Data and Big Data origin points can also be optimized pragmatically. Take the case of Aliaxis group, which counted upon Talend Data Quality to fetch correct data being fed into their info systems and such a function also prevented the existence of bad, corrupted or duplicated data.

Data Analysis on A Large Scale:

There are present relishing online platforms for plain business purpose such as auction centres, gaming platforms, e-shopping sites and so forth, which put forth massive amount of data from customers on a perpetual basis and which gets recorded in the big data stores (data lakes, for that matter). It is seen that absolute and timely analysis of such type of data proves to be hazardous for sound business objectives, but with Talend on your side, the process of big data integration gets simplified with graphical tools and wizards at use, in such analytics. For instance, Delivery Hero, which is an online food catering platform needed to transfer around 20 gigabytes of data which was secured as a result of its monthly activities, data was gathered from diverse locations and was fed into their centralized data warehouse. Further, such data needed to get transferred within minutes into the intended warehouse in a short time in order to facilitate BI queries could get latest results. Hence, they preferred Talend based big data solution to harness such a concern.

External upstream systems can be set up to draw out feeds to enable further processing. One of the leading food and beverage chain in US performs business-to-business data integration and it efficiently process information from numerous sources for a variety of reasons, such as for product offers from many reseller partners, for website users as well as for occasional retail systems.

Seamless connection can be made with any of the third party data store for the purpose of importing data, verifying it and also for regulatory and compliance reasons. For example, post code verification, OFAC check or for credit data MS Outlook among other ways. Take the case of a prominent travel enterprise in US with global presence selected Talend data integration in order to connect with MS Outlook to secure mails for their archives.

As we are regaled with mega sets of ready connectors (which are more than 450) and which are shipped with the product itself, Talend data integration renders swift data integration with widely prominent data sources in place. The case of prominent retailer operating on a worldwide scale and which titled towards Talend solution for the purpose of integrating their 100+ applications with the newly created e-commerce platform..

By the virtue of Talend data integration, a single but powerful platform is provided to access data through multiple sources, such as flat files and .csv to Oracle/MSsql type of RDBMS to any popular NoSql databases such as Mongo DB etc. In such a case, leading European marketplace portal, which facilitated buying and selling of automobile plans simply tried to harness its investment in Talend solutions in a bid to connect with MongoDB, a NoSql database.

Enhanced Utilization of Monetary Investment:

Enterprises allocate considerable funds for maintaining data quality and through Talend based solutions, data inconsistencies or duplicated or redundant data would be curtailed and the data storage would be optimized, in that way. For instance, Prodague, which sells fruits and vegetables, recorded higher productivity in their operations, when duplicate data entries were removed and consistency was automated a great deal.

Data Analysis on A Large Scale:

There are present relishing online platforms for plain business purpose such as auction centres, gaming platforms, e-shopping sites and so forth, which put forth massive amount of data from customers on a perpetual basis and which gets recorded in the big data stores (data lakes, for that matter). It is seen that absolute and timely analysis of such type of data proves to be hazardous for sound business objectives, but with Talend on your side, the process of big data integration gets simplified with graphical tools and wizards at use, in such analytics. For instance, Delivery Hero, which is an online food catering platform needed to transfer around 20 gigabytes of data which was secured as a result of its monthly activities, data was gathered from diverse locations and was fed into their centralized data warehouse. Further, such data needed to get transferred within minutes into the intended warehouse in a short time in order to facilitate BI queries could get latest results. Hence, they preferred Talend based big data solution to harness such a concern.

One can easily gain access to older data records lying at the older or legacy systems such as Mainframes and in such a scenario, a leading healthcare provider in US, simply relies upon Talend data integration to ferret out data from its legacy systems, mainframe database which involves production reporting dashboard systems, and data was also coming from various providers in xml and fix width format.

Users can spare huge funds by simply migrating away from legacy systems which call for higher maintenance or propriety frameworks to novel platforms which are more sophisticated and most economical too. In such a regard, leading financial company in US, opted for Talend based solution and culminated its IT transformation while keeping in mind, the need to comply with newly introduced regulatory guidelines.

Legacy databases can be harnessed efficiently through which, their stored data can be made available for ritual processing across platforms and this can be possible only when premium Talend Integration solution is being opted for. Take the case of leading fashion company in US, which is globally acclaimed fashion house and this preferred Talend data integration solution while trying to draw out data from its legacy system, {A/S 400} to store its data warehouse solution.

Users can consult with their partner software systems to integrate with, for the purpose of seamless data transfer across the supply chain. For instance, leading supply chain company in US accentuated upon Talend data integration for seeking collaboration with the suppliers.

Integration Success Enhancement With Clean Data

Clean data can be guaranteed for accessibility, reporting and for analytics purposes while structured data de-duplication, validation, standardization and enrichment is accomplished in a timely manner. Talend comes packed with built-in data quality features with which, applications can be integrated easily and Data and Big Data origin points can also be optimized pragmatically. Take the case of Aliaxis group, which counted upon Talend Data Quality to fetch correct data being fed into their info systems and such a function also prevented the existence of bad, corrupted or duplicated data.

Data Analysis on A Large Scale:

There are present relishing online platforms for plain business purpose such as auction centres, gaming platforms, e-shopping sites and so forth, which put forth massive amount of data from customers on a perpetual basis and which gets recorded in the big data stores (data lakes, for that matter). It is seen that absolute and timely analysis of such type of data proves to be hazardous for sound business objectives, but with Talend on your side, the process of big data integration gets simplified with graphical tools and wizards at use, in such analytics. For instance, Delivery Hero, which is an online food catering platform needed to transfer around 20 gigabytes of data which was secured as a result of its monthly activities, data was gathered from diverse locations and was fed into their centralized data warehouse. Further, such data needed to get transferred within minutes into the intended warehouse in a short time in order to facilitate BI queries could get latest results. Hence, they preferred Talend based big data solution to harness such a concern.

External upstream systems can be set up to draw out feeds to enable further processing. One of the leading food and beverage chain in US performs business-to-business data integration and it efficiently process information from numerous sources for a variety of reasons, such as for product offers from many reseller partners, for website users as well as for occasional retail systems.

Seamless connection can be made with any of the third party data store for the purpose of importing data, verifying it and also for regulatory and compliance reasons. For example, post code verification, OFAC check or for credit data MS Outlook among other ways. Take the case of a prominent travel enterprise in US with global presence selected Talend data integration in order to connect with MS Outlook to secure mails for their archives.

As we are regaled with mega sets of ready connectors (which are more than 450) and which are shipped with the product itself, Talend data integration renders swift data integration with widely prominent data sources in place. The case of prominent retailer operating on a worldwide scale and which titled towards Talend solution for the purpose of integrating their 100+ applications with the newly created e-commerce platform..

By the virtue of Talend data integration, a single but powerful platform is provided to access data through multiple sources, such as flat files and .csv to Oracle/MSsql type of RDBMS to any popular NoSql databases such as Mongo DB etc. In such a case, leading European marketplace portal, which facilitated buying and selling of automobile plans simply tried to harness its investment in Talend solutions in a bid to connect with MongoDB, a NoSql database.

Enhanced Utilization of Monetary Investment:

Enterprises allocate considerable funds for maintaining data quality and through Talend based solutions, data inconsistencies or duplicated or redundant data would be curtailed and the data storage would be optimized, in that way. For instance, Prodague, which sells fruits and vegetables, recorded higher productivity in their operations, when duplicate data entries were removed and consistency was automated a great deal.

Data Analysis on A Large Scale:

There are present relishing online platforms for plain business purpose such as auction centres, gaming platforms, e-shopping sites and so forth, which put forth massive amount of data from customers on a perpetual basis and which gets recorded in the big data stores (data lakes, for that matter). It is seen that absolute and timely analysis of such type of data proves to be hazardous for sound business objectives, but with Talend on your side, the process of big data integration gets simplified with graphical tools and wizards at use, in such analytics. For instance, Delivery Hero, which is an online food catering platform needed to transfer around 20 gigabytes of data which was secured as a result of its monthly activities, data was gathered from diverse locations and was fed into their centralized data warehouse. Further, such data needed to get transferred within minutes into the intended warehouse in a short time in order to facilitate BI queries could get latest results. Hence, they preferred Talend based big data solution to harness such a concern.

ARE YOU GETTING MOST OUT OF TALEND SOLUTION?

You’ve already invested in Talend project or maybe you already have a Talend Solution implemented, but may not be utilizing the full power of the solution. To get the full value of the product, you need to get the solution implemented from industry experts.

At BigData Dimension, from planning, analysing, building, to a seamless implementation of Talend projects and then extending relishing support for the eventual data integration solutions. We have roped in globally acclaimed bunch of recognized minds who have called the shots globally and who are extensively experienced in multi-industry set up, in fulfilling such modern day needs through such a cutting edge technology as Talend has emerged to be. Further, passion gives way to innovation and hence trusted and tested methodologies are being put to use while always looking for some adventurous innovation. Sans doubt, but the end users and their concerns are always kept in mind and they are encouraged to be the part of the development process.

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Our Talend 360 Solution helps consolidate, profile, cleanse social media and click stream data.

Millions Emails per min
Million Facebook likes Per Min
Tweets Per Min
Search Queries Per Sec
Photos uploads per min
Video hours per minute

Don’t Implement your Talend Solution without US

Let Us Help You – With Your Bigdata Lake Needs

Our Talend Express 360 Solution

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Talend Assessment & Modernization

We first study and evaluate your system which may have existing Data Warehouse implementation and collect the requirement. It is been examined if the organization is equipped with the necessary skills and hardware which would pave way for successful implementation for scalable Data Warehouse.

  • Tool Specification: This method is being implemented in order to determine the most appropriate Data Warehouse implementation software like ETL, Data Modelling, Database etc. in order to meet target goals.
  • Health Evaluation: This step assesses the versatility of existing Data Warehouse program in order to ascertain the completeness of the product and to select and uproot any bug or likely error from there.
Assisement-and-modernization
Data-roadmap

Data Warehouse Roadmap

Successful implementation of Talend technology needs to be steady which is trajectory of numerous upstream and downstream systems and sub-systems which together constitute the most powerful Talend ecosystem. Our stalwarts are ever devoted to put meaningful efforts with you and to detect and meet any critical bottlenecks which may appear thereby. For instance, the following types of issues are the most occurring ones, when Talend solution is being implemented:

  • Should my enterprise opt for a Big Bang type initiative or a controlled implementation in phased manner?
  • How to plan and execute Talend custom solutions?
  • On what criteria can the success of each of the implementation stage be gauged?
  • How to attract the focus and support from stakeholders’ side?
  • How to gather constant sponsorship or funds supply to push such long term impact programs forward?

Design And Development Phase

During this stage, our illustrious team adheres to a sequential design, i.e. iterative model where end businesses are provided with a chance to get deeply involved by adapting to newer business systems while still keeping their end objectives within sight. We render the following type of unparalleled legacy of premium design and development phase:

  • Well defined, tested and trusted development technique cum methodology,
  • Visible and quantified outcome is being delivered to clients swiftly and regularly,
  • Our Data Warehouse consultants perpetually work in tandem with enterprises alongside their workforce,
  • Checks, tests, timely analysis and counter-program is being provided to deal with any untoward event or bottleneck which may hamper this phase,
  • BigData Dimension’s top management directly involves with the receptive businesses to provide solutions and monitor the progress of Data Warehouse implementation.
Design--Development-phase
timely-upgrade

Solution Insights And Timely Upgrades

On the back of the robust business association with Talend which is strengthened by regular product upgrades as an outcome of our Talend devotion, BigData Dimension maintains profound insight into their product strategy and design. Our rich belief in product analysis and hardware circuits enables us to pile up expertise in possible releases of future and to stay ahead in the competition. We call upon businesses and enterprises to count upon us, to gather enlightenment for the following aspects:

  1. The real time benefits of accomplishing a selective upgrade in closer proximity to nature of business and enterprise activities,
  2. Carrying out upgrades in phased and control manner, while also pondering over the possibility of releasing regular or sparse upgrades,
  3. To asses the level and nature of impact which an upgrade would case upon the on-going business activities,
  4. Evaluating the associated risks which any and every upgrade would yield and devising plans to undo such impacts while keeping the business process consistent,

Production Support

After the development of a solution, it is tested and is finally delivered to enterprises where its performance is being monitored and is gauged and plan Bs, Cs and Ds are being formulated beforehand to meet with any discrepancy which may arise thereby. Hence, at BigData Dimension, our customer service and support crew constitute the polished minds of the industry and remain accessible 24X7X365 and can support for any o the following objectives:

  • They design systems to be installed live with mock drills,
  • They can accomplish system preparation, for verifying required configuration and for examining delta and initial loads,
  • Evaluate the developed systems for any unexpected system behaviour or discrepancy,
  • Revise and reinstall production systems after the systems malfunction,
  • Securing lost data and to repair and examine erroneous codes,
  • Detect and resolve performance standards and to re-verify them,
Production-support
Delivery

Delivery Methodology

In the Data Warehouse domain, BigData Dimension has registered some amazing milestones during the past years and our insightful designers have come up with some astute tools which we incorporate during our service accomplishments:

We have amassed a huge acclaim and expertise in such Data Warehouse methodology which is a reflection of our years of devotion towards working with discerning businesses with varying degree of data management requirements. Finally, tested, trusted and standardized methods are being implemented during such Data Warehouse accomplishments.

Spearheading Premium Business Solution

With our paramount Data Warehouse skills and acclaimed expertise , which is built over the past years of implementing custom Data Warehouse solution, a plethora of minute coding clusters are designed, which act like solution accelerators and are used to expedite services delivery. Such solution accelerators comprise of the following:

  • Ready to use templates for each of the project phase,
  • Tools for testing automation,
  • Data preparation module for accomplishing quick test,
  • Tools to review every program of our Data Warehouse solution,
  • Codebase for ensuring premium quality and control.
Business-Solution

Propel Big Data Integration Quickly And at Hadoop’s Scale:

Big Data integration can be rendered at an improved pace while saving time as well as by minimising its complexity while Talend advantage is being harnessed. Such a scenario also helps in preventing the maintenance of complicated Apache Hadoop code.

While carrying out big data integration, there are utilized graphical tools and powerful wizards in a bid to generate native code, resulting which enterprises can draw full-fledged advantage of Hadoop technology and vital decision making can be accelerated by making precise use of data.

Further, by the virtue of distribution through Hadoop, there is also extended the relishing benefit of parallel environment which is an outcome of native or optimized code generation. With Talend, we are enabled to load, transform, enrich and cleanse data from inner parts of Hadoop framework, while no additional storage would be needed nor any computing expense.

Likewise, data can be run and evaluate data quality from inside of Hadoop, we can easily enhance performance and data accuracy while trying to initiate information-driven decisions and reliance on data quality would also be all time high.

Secured Investment on Big Data With A Futuristic Architecture:

Clearly, the big data integration solution puts forth relishing support and sophisticated technical insights for MapReduce and YARN, in association with Spark and Strom. Besides, there is delivered an integrated platform for data, software and for integrating processes in order to meet enterprises’ current and future needs for enhanced quality data sophistication.

Security Enhancement And Fraud Detection:

With Talend at your end, businesses can detect scores of frauds and can prevent such a happening and such can be made possible only when big data stores could be integrated where they are put under the purview of analytical tools and they secured trends and anomalies.

Cross sell and Up-sell Opportunities:

Data which gets captured from social media or any of the online platforms can be analysed to draw out cross selling or up-sell opportunities in impact the top line growth in a promising way. At this, the Talend big data integration renders swift access to big data sources in order assist business/data scientists to positively put forth newer insights into consumer preferences.

Prevent Loss of Sales:

Abandoning of carts can be prevented by making best use of promotional offers, from time to time.

Exceptional Data Integration Guaranteed:

It is always critical task that businesses should look to optimize their key data integration and swift digital transformation, inline with appropriate array of software tools and with the underlying technical resources at hand. If, however, this is not done in time and under the supervision of acclaimed experts, chances are that the completion deadline of the project would keep on going forth as also the associated costs and would also cost a big deal of business to such enterprises.

At this stage, Talend is widely being relied upon as it is the most prolific platform, replete with outstanding tools which culminate data integration, while maintaining the degree of scalability. Such versatile tools pave way for securing data, transforming and in aligning it with a wide variety of systems which can be older versions as well as the newer ones.

With over 800 connectors, Talend guarantees easy connectivity with :

  1. Databases,
  2. Packaged Applications (ERP, CRM)
  3. SaaS and Cloud Applications,
  4. Mainframes,
  5. Files,
  6. Web Services,
  7. Data warehouses,
  8. Data marts,
  9. OLAP Applications,
  10. Managed Services,

Simplified Management Ensured:

Sans doubt, but Talend integration tools are so sophisticated by the virtue of which we can easily manipulate a multitude of projects such as one-off ETL to the ones, needing perpetual integration projects which include thousands of task completion in quick time.

Supreme Data Quality Ensured Through Talend:

Exceptional Data Quality

Facilitate Better Decision Making:

Talend Info management has been so superbly structured and executed that users are empowered to culminate data in its original worth and enterprises are able to secure accuracy, completeness and supreme data integrity. As such, information gives way to confidence and reliance over it increases immensely.

Richer Data Dimensions Identified:

For any particular field, such as customer name, address or products code, workforce can be trained to be more efficient, as they become aware of newer data dimensions, such as to access, to comprehend and to lay clear standards, in the most outstanding manner. Resolving data quality through exceptional Talend’s solution checks the instances of data inconsistency and thoroughly imposes laws of data governance and accomplishes information consistency while adhering to standardization while exploiting Talend’s unique concept of enterprise data quality management.

There is in-built provision for data integration through distinct software codes, which is robust enough to enable cleansing and evaluating almost any data type without any need to copying and getting it translated into any other version. Besides, data connectivity is yet another feature designed by default, with which one can profile, cleanse, match up and monitor it and so forth to be done easily to address all data quality and data governance needs. Further, data quality capabilities can also be enhanced and control while a flat text files and particular enterprise data is being encountered and likewise, even Hadoop can be manipulated in an efficient manner, by the command of Talend. Organizations can secure best of the capabilities of such Talend platform to ensure elevated data quality across any data types encountered therewith and against any data frequency.

Thorough Data Profiling:

With Talend, we are empowered to efficiently carry out data profiling and exceptional data analysis following which reporting can be crafted and can be distributed across the network or through web, among the intended recipients. Data understanding becomes fully visible as operations get enmeshed with efficiency, while showing acceptance to company rules and industry standards. Workforce is enlightened to about the use of data manipulation while also looking for areas of further improvement. Talend outlines specific tests in order to ensure that the data quality retains versatility which is vital for application use of enterprises, but custom tests can be programmed as well.

Now, as for the aspect of data standardization and vital data capabilities, parsing technology can be roped in, to secure premium structure to data and then to innovate programming for data quality improvement further.

Talend specifies useful features with which external data sources can be aligned with for the purpose of postal validation, credit score information data and for other types of useful purposes.

Besides, users can configure matching within the Talend user scenario, but without going for fierce editing of rules files and without installing numerous GUIs which are attached with a variety of data quality tools. Finally, there is provided a provision for “what if” analysis when one needs to change modifying techniques with the given charts and graphs for the purpose of vital matching metrics.

Strong Check For Inefficiency Across Supply Chain:

Clean data is vital while efforts are on, to align useful information across the distributed business systems while erroneous data would spread in related records quickly and this would stymie the objective of data integrity to a great extent. Clearly, but the compromised (and unreliable) data would incur some cost which is beyond calculation and which can leave a negative impacts such as sinking sales volume, depleting productivity, tarnished reputation and other instances of skipped opportunities.

Productivity Enhancement:

When data is of top quality with minimal error instances in logs, such a scenario saves time and efforts put in such analysis and such factors bound to favour productivity at every step.

Customers Are Happy, Satisfied And Retained:

With poor or unreliable data quality, marketing efforts, billing, order fulfilment and loyalty programs, among other aspects, would be impacted and such would pave way for customer dissatisfaction and would result in loss of customer base. But with proper data quality, customer interests can be safeguarded with proficient ease.

Talend MDM: a fast, cost-effective solution for your data management needs.

Get a single accurate point of reference with Talend master data management (MDM), giving you the processes, governance, policies, standards and tools to define, manage and maintain the critical data of your organization.

Use cases of Talend master data management

  • Centralize source of reference data –Expose & move data from siloed information systems into a single source of truth platform like Talend MDM for data consistency across the organization.Pernod Ricard Deutschland GmbH uses Talend solution to have a reliable unified single version of data across its system.
  • Authorized access to reference data –Talend MDM inherently lends itself to better access control over master data which directly impacts the way your organization works with the available data.
  • Minimize data misinterpretation –Talend MDM offering promotes a common understanding of data across the organization helping aid better decision making.
  • Easy and simple approach to modify reference data –Business rules and logic to transform data is applied at the MDM, eliminating the need to duplicate logic in every application (and thus eliminating the possibility of logic being applied inconsistently).

Supreme Data Fabric Solution Through Talend:

Talend Data Fabric is widely acclaimed service for harnessing data quality in its expansive mode. Such is the latest innovation in the field of data architecture which is targeted towards newly formed data challenges. In such case, Talend is the sole saviour as the framework is replete with newly constituted technologies, such as Apache, Spark, Flume, Kafka, Amazon Kinesis and Active MQ.

Relying upon Talend data fabric with seamless backend support, enterprise workforce can easily work upon different projects, without knowing more tools, technologies and programming groundwork. Clearly, enterprises become astute in their professional approach, when our technology is integrated enough to cater to business needs swiftly. Talend Data Fabric imbibes all the talend data platform items with all its versions, such as big data, data integration, cloud, master data management and application integration and data quality. All of such relishing features are being integrated onto a single digital paradigm which proffers identical management and development environment. As such, workforce is being enabled to efficient and to work with a positive approach, across all integrated domains.

Talend Data Fabric Use Cases:

Retail Sector:

IT Scenario Transitioning:

Such a striking technology is being enmeshed so as to transform IT horizon of enterprises in order to manipulate data deluge in the most optimum manner and to initiate key business decisions in the most prolific manner. As a result, best of the customer retention rates are being guaranteed while soaring profitability with integrated development platform architecture.

BigData Dimension Nurtures Talend Data Fabric Solutions:

Agility is being rectified and marketing power is improved through an identical framework. Talend Data Fabric integrates big data, data integration, cloud technology, master data management and software integration into a singled out scenario under the umbrella of common development and management environment. The working teams are thus able to function in the most sophisticated manner across all such technologies.

  • Sophisticated data architecture is being put forth to meet newly developed data centric challenges as only Talend puts forth a fully developed framework with which latest genre of technologies can be aligned with, such as Apache Spark, Flume, Kafka, Amazon Kinesis and Active MQ, as mentioned above.
  • With Talend Data fabric at your side, slashed prices of ownership are there.
  • The technology empowers the workforce of the enterprise as self-service environment is being provided thereby. Further, data sources can be reached through single point of access while visibility, governance and control is being promulgated at every stage of processing.

Paramount Features Of Talend Data Fabric:

Swift Design:

A drag-and-drop and user friendly interface which is Eclipse based, is provided. Further, team storage is there which enable quick development and deployment,

More Process:

With Talend Data Fabric, users are encouraged to get any data of any type, get duly transformed into any desired form and then users can intervene with any data flow for the sake of consistency,

Run At Your Will:

Function can be optimized while a single tool is being relied upon for batch and real time and to get the projects deployed onto cloud or on-premises, or on Hadoop.

Smartness All The Way:

Data can be analysed with machine learning tools and users are empowered to respond with greater insights,

Simplified Data Governance:

Processes can be managed from a centralized console and users can monitor and master the quality of data manifolds, while improving its accessibility.

Supreme Integration of Talend Application and ESB

Security, Scalability And Reliance

No need to integrate systems, rather make decisions quickly while saving time and energy. Talend provides enterprise service bus (ESB) products which is reliable and be scaled to any length. Such products are widely hailed as one can simplify the connection, mediation and management of services and applications for progressive enterprises.

Cost saving Software Updates:

With application integration solutions at our side, we can easily link from one point in one process, such as e-commerce to some other environment such as an oracle database, but higher Oracle developer costs are not incurred thereby.

Talend Enterprise Service Bus (ESB), we are allowed to replace services during runtime and services can be created, disposed of or upgraded with nil downtime. The underlying phenomenon underneath this is referred to as OSGI.

Talend ESB also offers greater support for event-driven architecture and possibility of linking with jMS queues becomes strong, like Active MQ. Such are, however, the message buses which can be used as transit components between communicating systems.

Message reception, such as getting a sales order, triggers an event to all connected subscribers to a specific queue and it is further removed once being processed. Such a scenario prepares strong ground for formidable efficiency and users are saved from running timers to verify if data is consumed up, data processing gets done in a jiff and one can subscribe and unsubscribe to queues and the topics, without fearing data loss.

Further with default-built security configuration module, with Talend’s software integration services in place, it becomes easier to configure and to implement policies and relevant controls which are guided through a platform which caters to robust security aspects for web services, but they still prevail to easily controllable, open and extremely flexible in their make.

Thus, while relying upon Talend’s superior mapping practices and swift data transformation tools enable enterprises in simplifying complex data integration, in reducing project time limits and in enhancing ROI.

Talend Application Integration Superior Use Cases:

Retail Sector:

Lone but Common Platform for Application Integration:

All the key interfaces are made secured, homogenized and centralized, which promulgate connection and data transmission between diverse applications across the software horizon and newer insights are being uncovered, for increasing revenue generation through storage data.

Loeul & Piriot preferred Talend solution to get connected to a couple of ERP platforms and objectives were addressed quickly.

Swift Flow of Data Across Enterprise:

Mega corporations maintained information systems comprising silos but the downside is that there are chances that it may contain duplicate data or any irrelevant chunks of data. Further, while such data sets get split, there are procured unwanted data which result in increasing storage costs. Talend application integration solution puts forth a user-friendly approach which is simple to use and comes with a feature-packed platform to help companies maintain voluminous business data which eventually leads to their bottom line growth.

Power-Packed Platform In Terms of Features With A voluminous List of Built-In Connectors:

Swift integration is ensured with any 3rd party applications which lie outside the purview of software ecosystem. There are provided around 450+ connectors , such as Aldo, which is a leading retailer with a worldwide approach, tilted in favour of talend solution for assorting more than 100 applications datasources towards their newly integrated e-commerce platform.

Customised Solutions For Swift Application Integration:

First of its kind ability of Talend application integration framework is that customized connectors can be secured which appear far suitable to every integration aspects but which cannot be found in any other pre-made connectors.

Centralized Integration Environment:

Across the enterprise arena, swift flow of data is ensured by the virtue of ESB platform and is thus the focal point of an IT landscape which is pigeonhole sophistication of application integration platform. Abnes, which is a global fashion house utilized Talend open source integration solution in order to integrate accounting data which is hosted on a Saas platform.

Far Reaching Flexibility to Aid IT Landscape:

Enterprise software can be revamped by migrating to newer astute microservices arena and application integration always remain at the central focus to enterprise needs in order to emphatically reduce operational costs. Findus in France, which is a subsidiary to Findus Group simply sought to renovate their entire information system with Talend managing it centrally. As a result, the productivity rose immensely at 20% during such interface development.

Delightful Cloud Integration Solutions Through Talend

 With Talend Integration Cloud, users are enabled to use digital framework of Talend studio and implement 800+ connectors and rich components which would simplify development of cloud-to-cloud and hybrid integration. Such applications can be deployed awith managed governance integration services.

Useful Talend Integration Cloud Services:

Talend Integration Cloud is a relishing framework which is widely being counted upon for premium cloud service whereby, transfer of data and file tool place at a relishing pace. There is present a studio and a powerful web application at the service. Talend Integration Cloud (as it is called) has inbuilt technology which allows digital framework and the internet to exploit the power of Talend studio while more than 800 connectors and components are there to fulfil the tasks of cloud to cloud and hybrid integration which are offered as an instance of fine integration services.

The sources which support Talend Cloud are Redshift, Marketo, NetSuite, SAP, Salesforce, AWS S3, Dropbox, Email, Google Drive and FTP. One can secure the meaningful capabilities of Talend Integration Cloud for a range of services, such as swift de-duplicating and standardizing of data for the purpose of contributing to data accuracy and its completeness.

Talend Cloud Technology Use Cases:     

PaaS: As offered Platform:

Data which is on cloud and on premises, can be collected and integrated while relying upon Talend Integration Cloud – a secure cloud integration platform-as-a-service (iPaaS) by the virtue of which powerful graphic tools, initial integration templates and a resourceful library of components remain at users’ easy access and retrieval.

Unparalleled Speed And Scale of Data Processing:

With Talend Integration Cloud service at our side, we are entitled to accomplish integration jobs in the handiest manner and with shortest time cycle. Likewise, the resources are reserved for the most cost effective use at wider scale without noticing demand and request aspects.

Hybrid Cloud Solutions Enjoy Built-in Support:

The process of development and deployment of Cloud-to-cloud and hybrid integration workflows become far simplified as services are being overhauled to be transferred to all requesting lines of businesses in an enterprise.

Our Approach

Ideate

We can absorb an idea and create an strategic roadmap for BigData Lake. This steps includes

Research

An idea can never come to fruition without research. Be it sifting through the customer requirement and understand the current landscape.

Brainstorming

We think sift through various ideas to create the next generation high performance data lake that work best. It helps to materialize the thought process and help in building all-muscled powered solution.

Prototype

We prototype the idea to bring to life the thoughts, and research.

Advise

We identify and optimize the underlying points where enriching Big Data initiatives can be implemented.

Bigdata Lake Advisory

An idea can never come to fruition without research. Be it sifting through the customer requirement and understand the current landscape.

Tool Evaluation

We think sift through various ideas to create the next generation high performance data lake that work best. It helps to materialize the thought process and help in building all-muscled powered solution.

Design

We convert abstract ideas into meaningful Bigdata Lake design by prepping, Ingesting and building metadata repository.
This section includes

Data Prepping

An idea can never come to fruition without research. Be it sifting through the customer requirement and understand the current landscape.

Data Ingestion

We think sift through various ideas to create the next generation high performance data lake that work best. It helps to materialize the thought process and help in building all-muscled powered solution.

Metadata Repository

Build metadata repository to maintain the schema, data profiling and data cleaning process.

Data Traceability

Build data lineage and batch processing to track data lineage.

Change Data Capture (CDC)

Build CDC mechanism to fetch the delta load.

Transform

We transform structured and unstructured data sets in Bigdata Lake. This section includes

Prepare Data

Build standardized structure of common and custom data sets.

Data Profile

Perform data profile process to check anonymity on data.

Data Quality

Perform data cleaning rules to make golden copy of the record.

Data Governance

Perform integrity and security process on data.

Data Masking

Apply data masking and encryption on sensitive data.

Analyze

Perform data analysis to transform the data into information

Build

We build custom solutions on Bigdata, MDM, Talend, Cloud, Data Warehouse, BI and application development. This section includes

Publish Data

Provide access to data semantic layer to analyze what has occurred.

Data Consumption

User can test the data from the semantic layer.

Data Visualization

User can visualize the data from the semantic layer.

Manage

We ensure proper training, support and administration service is provided. This section includes

Training Solution

Provide customer training

Support Solution

Provide Change and growth management solution

Administration

Provide administration and configuration solution.

Our Services

Configuration & Installation Services

We provide Hadoop Configuration & Installation services.

Architecture & Development Services

We provide Hadoop Data Lake Architecture and Development Services.

Upgrade Services

We provide speciality services to upgrade your existing Hadoop Bigdata Lake

Support Services

We provide managed and production support services

Training Services

We provide training services to our customer to bring them upto the speed on the delivered work.

Our Deliverables

This type of engagement typically produces:

  • Confirmation of business requirements
  • Bigdata Lake Advisory Solution
  • Tool Evaluation Solution
  • Bigdata Data Lake solution design and implementation
  • Comprehensive Bigdata Lake system documentation
  • Configuration and Administration Solution
  • Support personnel and user training
  • Change and growth management support
  • Training Solution

Our Process

We follow agile methodology and our project run in Sprints: iterative cycles of requirements gathering, analysis, design and development – that are focused on a given subject area. We utilize JiRA and other ticketing tools to manage project releases in an agile way.
We follow lean principles of Scrum to develop project iteratively and present the solution with the use quickly. This helps in getting feedback sooner and any issues reported by the user will be fix quickly.

Our Implementation Team

To plan, build, implement and support Real-Estate Analytics, BDD uses an industry experts and further provide our own proven development methodology, and will function closely with your implementation need. Project teams typically include the following roles and responsibilities:

  • Project Manager
  • Business Analyst
  • Bigdata Architect
  • MDM Developer
  • DBA
  • Java Architect
  • Cloud Architect
  • Bigdata Developer
  • ETL/ESB Architect
  • ETL Developers
  • Java Developer
  • .Net Developer
  • MDM/Java Architect
  • Data Architect
  • Java/MDM Developer
  • MDM Testers
  • .Net Architect

SUCCESS STORIES BY DOMAIN

Managed & Advisory
Services

ENTERPRISE GRADE PROFESSIONAL SERVICES & CUSTOMISED SOLUTIONS

Bigdata lake Beam 360 Starter
Solution

ENTERPRISE GRADE PROFESSIONAL SERVICES & CUSTOMISED SOLUTIONS

MDM Beam 360 Starter
Solution

ENTERPRISE GRADE PROFESSIONAL SERVICES & CUSTOMISED SOLUTIONS