IRI Voracity http://www.iri.com/

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Topic:

The IRI Voracity® Total Data Management Platform

Summary:

40 years ago, IRI introduced CoSort, the first ‘big data’ processing engine for ‘open systems.’ Honed ever since for mainframe sort migrations, DB load and ETL optimization, embedded BI and analytic data preparation, CoSort is now the default metadata and manipulation workhouse behind IRI’s modern data management platform called Voracity. During this presentation, senior IRI team leaders will explain what you can do with Voracity, how to run its jobs with CoSort or Hadoop, position it relative to others, and partner with us. We’ll also show you some of the ways in which BI/DW architects, DBAs, data stewards, and developers can use Voracity. We’ll also cover current customer cases, and ask for your feature wish list as we share Voracity’s product road map.

Presenter(s):

David Friedland – COO

David has executive responsibility for the development of the Voracity platform and partner ecosystem at IRI. David joined IRI in 1991 with degrees from Cornell University and SUNY Albany in business communication.

Don Purnhagen – CTO

Don has been with IRI for over 12 years. He has been involved in professional software development since 1985. Don is the primary architect, and development manager for IRI Workbench’ the ‘Built on Eclipse’™ integrated development environment for the Voracity platform. In his spare time he is flying drones, and tinkering with IoT.

Claudia Irvine – Senior Software Engineer

Claudia is responsible for Voracity job design and metadata modeling, and for expanding the functionality of its Workbench user interface.

Company Profile:

IRI (www.iri.com), The CoSort Company, is an innovative US data management and protection ISV founded in 1978 and represented in more than 40 cities worldwide. Thousands of mission-critical data processing operations and users rely on IRI’s uniquely fast and versatile manipulation software products — and a free Eclipse IDE — to address their big data, BI/DW and governance challenges affordably.

Case Studies:

Case Studies

Big Data Case Studies