Building Next Generation Mainframe Data Architectures for Real-time Analytics

 
WEDNESDAY, OCTOBER 2, 2013
10:00am PT / 1:00pm ET
The need for real-time intelligence is driving the development of next generation data architectures that allow mainframe data to be more easily shared across the enterprise. In the past, ETL or data replication was necessary to avoid the high computational cost of on-host data access. New integration approaches are eliminating the necessity to move data, and now allow non-relational data sources like Adabas, VSAM or IMS DB or Physical Sequential files, to directly integrate with business intelligence and analytics tools. Explore the latest advances in mainframe data virtualization - parallel I/O, zIIP specialty engines, ANSI 92 SQL - and learn how you can have real-time, universal access to this critical source of business information.

Audio is streamed over the Internet, so turn up your computer speakers!
 
   
MODERATOR
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Stephen Faig
Business Development Manager
Unisphere Research and DBTA
PRESENTERS
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Joseph McKendrick
Lead Research Analyst
Unisphere Research
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Gregg Willhoit
Managing Director
Rocket Software Data Lab
 
 

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