(Dave Beulke) The following are the remaining five criteria for your Big Data analytics reporting tool. As I mentioned last week, weightings for each criteria category should be discussed, along with adding your company’s sub-topic considerations, to calculate the total best score.
Tag: IBM
Tips for Using the IBM DB2 Information Center Part 3: Information Structure – Parameter and Message Reference and General Guidance
(Ember Crooks) This article is the third in a series about the IBM DB2 Information Center. Please check out the other articles in this series:
Integrating MDM Server with Enterprise Information Systems using SAP as an example, Part 2: Enriching customer records with SAP specific information
(Hans Schoen, Sebastian Nelke and Mike Grasselt) This article is a sequel to the “Integrating MDM Server with Enterprise Information Systems using SAP as an example, Part 1” tutorial. In Part 1, the focus was on propagating customer master data from an MDM Server to an SAP system.
Streamlining DB2 for z/OS Database Administration with the DB2 Administration Solution Pack for z/OS
(Paolo Bruni, Tom Crocker, Elaine Morelli and Richard Schaufuss) IBM DB2 Tools for z/OS support and exploit the most current versions of DB2 for z/OS. These tools are integral for the administration of the DB2 for z/OS environment and optimization of data performance.
COPYTOCOPY: The Forgotten Little DB2 Utility?
(Craig S. Mullins) The COPYTOCOPY utility was introduced some time ago now, way back in DB2 for z/OS Version 7. The purpose of the COPYTOCOPY utility is to make additional image copies of currently existing image copy data sets.
Analyzing large datasets with Hive
(Zafar Gilani and Salman Ul Haq) Every 24 hours, the big data industry gathers and logs terabytes of data. There is a growing need to make sense of this ballooning amount of data. From C-level executives down to engineers, the challenge is to base forecasts and make decisions derived from this infor
DB2 BLU: A look at the catalog tables and the synopsis table
(Henrik Loeser) DB2 10.5 with BLU Acceleration allows to create column-organized tables. They are the foundation for “actionable compression” and smart in-memory processing. I plan to cover some details in upcoming posts and already have written some articles about DB2 BLU earlier.
TechTip: DB2 Web Query and Excel Spreadsheets: Easy as Pie! Part III – See more at: http://www.mcpressonline.com/database/techtip-db2-web-query-and-excel-spreadsheets-easy-as-pie-part-iii.html
(Gene Cobb) In my previous article in this series, TechTip: DB2 Web Query and Excel Spreadsheets: Easy as Pie! Part II, I showed you some DB2 Web Query techniques that generated multiple worksheets within an Excel spreadsheet. In this article, we continue the discussion on combining these two techno
Best practices for patterns adoption in IBM PureApplication System
(Kyle Brown, Rajeev Gandhi, Venkata (Vishy) Gadepalli and Robbie John Minshall) The pattern-based deployment approach of IBM PureApplication System has influenced, changed, and revolutionized the relationship between development and system operations, as well as the roles within these teams. Organiz
Traveling Through Time With Temporal Tables in DB2 10 for LUW
(Phil Gunning) DB2 10 introduces temporal table support in accordance with the SQL 2011 ANSI/ISO standard and is the first commercial database to implement temporal table support as specified by the standard.
