(Morihiro Kawanami and Tomohiro Taguchi) Learn how to create and implement a mobile solution prototype for IBM CICS systems management. By creating this prototype, you can improve the usability of CICS system management functions and incorporate them with your IBM MobileFirst applications.
Tag: IBM
DB2 for z/OS Group Buffer Pools: ALLOWAUTOALT, Directory Entries, and GBP Size
(Robert Catterall) So, I’ve seen something interesting lately in reviewing some DB2 for z/OS data sharing systems, and as is often the case in such situations, when I see something interesting I want to write about it. Thus this blog entry. Hope you find it to be useful.
Big Data: Integration with Little Data
(Lockwood Lyon) Big Data is all the rage these days. We are constantly being bombarded and overwhelmed with news, articles, white papers and vendor products related to Big Data.
Manage IBM CICS systems on the go: Prototype for IBM MobileFirst applications
(Morihiro Kawanami and Tomohiro Taguchi) Learn how to create and implement a mobile solution prototype for IBM CICS systems management. By creating this prototype, you can improve the usability of CICS system management functions and incorporate them with your IBM MobileFirst applications.
DB2 for z/OS Group Buffer Pools: ALLOWAUTOALT, Directory Entries, and GBP Size
(Robert Catterall) So, I’ve seen something interesting lately in reviewing some DB2 for z/OS data sharing systems, and as is often the case in such situations, when I see something interesting I want to write about it. Thus this blog entry. Hope you find it to be useful.
Big Data: Integration with Little Data
(Lockwood Lyon) Big Data is all the rage these days. We are constantly being bombarded and overwhelmed with news, articles, white papers and vendor products related to Big Data.
Optimizing Database Performance, part 2: Denormalization and Clustering
(Craig S. Mullins) In Part 1 of our series introducing database performance topics and considerations we tackled the issues of partitioning data and creating indexes. In Part 2, today, we will introduce the topic of denormalization and clustering.
DB2 11 OSE Enhancements
(Troy L Coleman) For customers that support very large tables and require 24 X 7 availability, the capability to change the definition of a table without having to drop it or take an outage is critical. Recreating tables and reloading data represents a huge cost, in terms of both money and lost upti
How the IBM Analytics Mediation Platform fulfills business goals in the mining industry
(Saurabh Gupta and Seba Kauser) Companies have access to more data than ever, but the data is often in disparate systems and dissimilar formats. Put this growing volume of data to work generating real-time insights that lead to meaningful actions. Learn how IBM’s Analytics Mediation Platform (AMP) h
Optimizing Database Performance, part 2: Denormalization and Clustering
(Craig S. Mullins) In Part 1 of our series introducing database performance topics and considerations we tackled the issues of partitioning data and creating indexes. In Part 2, today, we will introduce the topic of denormalization and clustering.
