DB2 with BLU Acceleration: A rapid adoption guide

Sep 19, 2013 ... You have probably heard how DB2® with BLU Acceleration can provide
performance improvements ranging from 10x to 25x and beyond for ...

DB2 with BLU Acceleration deployment made easy (IBM Information ...

May 2, 2014 ... Deploying DB2 with BLU Acceleration is simple. With only handful of commands,
you can turn on analytics mode, create a new or ...

Simple and fast with IBM BLU Acceleration (IBM Information ...

Oct 22, 2013 ... The following blog entry was written by Jessica Rockwood from IBM Lab at
Toronto, Canada. IBM BLU Acceleration is a new technology in DB2 ...

IBM DB2 10.5 BLU Acceleration

IBM DB2 10.5 BLU Acceleration. Version 1.3 September 13th, 2013. Vikram S
Khatri. Maria N Schwenger. 2013/09/13 - 2. IBM DB 10.5 BLU Acceleration.

What is new in the IBM DB2 with BLU Acceleration Pattern version ...

Dec 21, 2015 ... IBM released version 1.2.3.0 of the DB2 with BLU Acceleration Pattern on 4th
December 2015. Although previous versions of this pattern type ...

IBM DB2 with BLU Acceleration and SAP BW

Classic. DB2 runtime. BLU runtime. Classic DB2 bufferpool. Classic DMS. (non-
BLU tables). BLU Acceleration is Built Into DB2 Engine. DB2 BLU - Overview ...

Using DB2 and BLU Acceleration on Cloud

Using DB2 and BLU Acceleration on Cloud. November 21, 2013. Presented by:
Rav Ahuja, DB2 on Cloud Expert and Big Data Evangelist. Philip Nelson ...

Information Management : IBM DB2 BLU Acceleration Kit for Trial

Sep 22, 2014 ... In 2013, IBM introduced DB2 10.5 with BLU Acceleration to speed up analytics
and reporting using dynamic in-memory columnar technologies.

DB2 monitoring enhancements for BLU Acceleration

Jul 24, 2014 ... BLU Acceleration is a collection of technologies for analytic queries that was
introduced in IBM DB2 for Linux, UNIX and Windows (LUW) ...

Leverage DB2 BLU Acceleration technology for tables involving ...

Jul 24, 2015 ... DB2 BLU Acceleration can provide performance improvements ranging from 35x
to 73x and beyond for analytical queries with minimal tuning.

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