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FEATURED

Making Data Integration Easy for Multiplatform Data Architectures with Diyotta 4.0

May 18, 2018
Ravindra Punuru
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FEATURED

Diyotta 4.0 Launch | Purpose-Built for Complex Multiplatform Data Architectures (Part 2)

May 14, 2018
Sanjay Vyas
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FEATURED

Diyotta 4.0 Launch | Purpose-Built Data Integration for Complex Multiplatform Data Architectures (Part 1)

May 6, 2018
Sanjay Vyas
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All Posts

Making Data Integration Easy for Multiplatform Data Architectures with Diyotta 4.0

May 18, 2018
Organizations are going through a radical shift in the approach of expanding their Data Fabric...
Ravindra Punuru
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Diyotta 4.0 Launch | Purpose-Built for Complex Multiplatform Data Architectures (Part 2)

May 14, 2018
Sanjay Vyas
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Diyotta 4.0 Launch | Purpose-Built Data Integration for Complex Multiplatform Data Architectures (Part 1)

May 6, 2018
Almost every organization is currently managing data in the cloud, planning to manage at least ...
Sanjay Vyas
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Big Data and Law

December 9, 2015
With the advent of informed decision making, legal industry could not do away with the reserve of...
Ravindra Punuru
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Big Data, Big for Every Business

November 20, 2015
Owing to the ever growing virtual world of information technology, Big Data has been assuming a...
Sripathi Tumati
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Overcoming the Top Three Spark Challenges

October 20, 2015
Sripathi Tumati
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5 Principles of Modern Data Integration

September 4, 2015
Ravindra Punuru
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Best Practices for Building A Data Lake in Hadoop

August 25, 2015
Big Data is the ‘oil’ of the 21st century, and just as oil is inherently useless when unrefined...
Sanjay Vyas
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Modern Data Integration: A Paradigm Shift

July 31, 2015
Diyotta Team
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Beyond Data Modernization

March 14, 2016
Diyotta Team
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Modern Data Integration Capabilities

April 12, 2016
Ravindra Punuru
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1st Principle of Modern Data Integration

April 19, 2016
Diyotta Team
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2nd Principle of Modern Data Integration

April 27, 2016
Diyotta Team
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3rd Principle of Modern Data Integration

May 4, 2016
Diyotta Team
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4th Principle of Modern Data Integration

May 9, 2016
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5th Principle of Modern Data Integration

May 20, 2016
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Accelerating Data Lake Implementations

June 12, 2016
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How to solve 3 common data challenges in Financial Services

September 26, 2016
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Creating Transparent Data Lakes

March 23, 2017
Diyotta Team
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Challenging the Status Quo of Data Integration Software: Diyotta’s Pricing Philosophy

April 11, 2017
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Hadoop Best Practices for Handling Structured Data - Introduction

April 27, 2017
Ravindra Punuru
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Improving Performance While Reducing Total Cost of Ownership

May 11, 2017
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Integrating Diyotta's MDI Suite Metadata into IBM Information Governance Catalog (IGC)

May 18, 2017
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Hadoop Best Practices for Handling Structured Data - Building Batch Data Pipelines Using Hive

May 24, 2017
Ingesting large volumes of data from diversified external sources into Hadoop can be complicated ...
Ravindra Punuru
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Enterprise Metadata: The Key to Information Value

June 7, 2017
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Hadoop Best Practices for Handling Structured Data - Transforming Data with Hive

June 22, 2017
Ravindra Punuru
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How governed is your data lake?

November 10, 2017
Sanjay Vyas
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Game Changer for Data Modernization! (Hint: It’s not Hadoop)

December 11, 2017
Sanjay Vyas
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