Solution Briefs

Data Blending

Data Blending

The right data blending toolsets enable your organization to access, integrate, cleanse, and consume data in record time and with a high degree of accuracy and security. With Impetus Data Blending solution that replaces a traditional ETL approach with a modern self-service driven data blending approach, enterprises can accelerate time-to-insight.

This solution brief explains how Impetus Data blending solution provides data quality controls, including baked-in security, and superior workload control via pause, quick resume, recover and other data pipeline controls.

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Data Warehouse Modernization

Data Warehouse Modernization

Enterprises are demanding business value from Big Data. As a result, the ability to blend petabytes and exabytes of data from historical and streaming sources becomes a necessity and data warehouse modernization becomes a top priority.

Because the data warehouse is often thought of as the heart of an enterprise’s Big Data and analytics strategies, modernizing it has a potentially powerful and very positive effect on the bottom-line impact of new technologies, platforms, tools, and practices. No matter what modernization strategy is in play, all data warehouses require significant adjustments to the logical and systems architectures of the extended data warehouse environment.

Download the Forrester report ‘The Next-Generation EDW Is The Big Data Warehouse’ to get more insights on Data Warehouse Modernization.

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Industry's Only Multi-Engine Streaming Analytics Platform

Industry's Only Multi-Engine Streaming Analytics Platform

Enterprises can use StreamAnalytix to take full advantage of the worldwide Open Source movement with a fully pre-tested and supported platform.

This Data Sheet will give you a snapshot of:

  • 'Enterprise Class on Open Source' approach of StreamAnalytix
  • Benefits and features of real-time streaming analytics platform
  • Performance parameters of the platform
  • StreamAnalytix architecture

Download the data sheet now to learn more.

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Big Data Cross Platform Cluster Management

Big Data Cross Platform Cluster Management

Big Data Cluster Management Solution (Ankush)Ankush Cluster Manager is a web-based solution for Big Data cluster provisioning and management. It is an Open Source solution that offers multiple vendor support with support for multiple clusters and technology under one roof.

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Kundera: An Easy Transition to NoSQL

Kundera: An Easy Transition to NoSQL

Kundera, an Open Source project backed by Impetus Technologies, is a JPA-based object-relational mapping (ORM) tool that facilitates the transition from RDBMS to NoSQL or NewSQL data stores while reducing the core challenges faced by Big Data application developers.

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