I am excited to invite IBM data management users to join DB2 Gold Consultant Frank C. Fillmore for a series of three webinars covering the latest IBM database strategies. Each session highlights a topic critical to IBM data management customers’ knowledge of the many, sometimes competing, often confusing, options available from IBM.
The content will help data architects better understand the latest solutions available to support analytic and OLTP workloads, as well as IBM’s data strategy direction and where today’s solutions – relational databases, Netezza and Hadoop – are best applied.
Attend one webinar or join us for all three. Each one hour session will provide a wealth of clear, useful information. Click on the links below to register.
#1 IBM DB2 Analytics Accelerator v4 PTF 5 Enhancements
Tuesday, June 9, 2015, 1pm-2pm EDT Register here: https://attendee.gotowebinar.com/register/5384878354738776577
Frank will present an update on the latest IBM DB2 Analytic Accelerator (IDAA) PTF released in April, 2015. This PTF delivers new functionality to extend IDAA utilization for DB2 for z/OS users including:
– Improved Incremental Update reliability and performance
– Accelerated dynamic query statement caching
– Additional scalar function support
– In-database transformation with Accelerator Only Tables
#2 IBM Hybrid Transaction/Analytic Processing (HTAP)
Tuesday, June 20, 2015, 1pm-2pm EDT Register here: https://attendee.gotowebinar.com/register/5118968064636087810
Learn how customers are using HTAP to eliminate analytic latency and data synchronization issues to transform and simplify information management infrastructure. For years IT customers have been told that online transaction processing (OLTP) and analytics couldn’t co-exist on the same platform. This led to costly and complex regimes to move OLTP data to a different platform for analytics. With HTAP, the barriers to near real-time analytics are removed amid significant reductions in IT expenses and complexity risk.
The concept of Hybrid Transaction/Analytic Processing was coined by Gartner. IBM implements HTAP in two ways:
– IBM DB2 Analytics Accelerator (IDAA) for DB2 for z/OS data (using Netezza hardware)
– DB2 BLU Acceleration – DB2 for Linux, Unix, Windows (a software-only implementation)
#3 IBM Data Retrieval Technologies: RDBMS, BLU, Netezza and Hadoop
Tuesday, July 21, 2015, 1pm-2pm EDT, Registration here: https://attendee.gotowebinar.com/register/1762449336105853441
In this session Frank will describe and compare the four distinct data retrieval technologies available from IBM. Choices are good to have, but how do you choose which technology to apply to a particular business use case? Learn how these techniques differ, including their relative strengths and weaknesses.
– The traditional RDBMS, relying primarily on indexes to speed access
– The new BLU Acceleration columnar compression and memory-optimized database
– IBM PureData System for Analytics (Netezza), which deploys racks of Field Programmable Gate Array (FPGA) processors to parse data
– IBM InfoSphere BigInsights, the IBM distribution of Hadoop
Registration for each webinar is required. To register, click on the session registration links above. I hope you will join us!