Managing Ever-Increasing Amounts of Data with IBM DB2 for z/OS: Using Temporal Data Management, Archive Transparency, and the DB2 Analytics Accelerator

Managing Ever-Increasing Amounts of Data with IBM DB2 for z/OS: Using Temporal Data Management, Archive Transparency, and the DB2 Analytics Accelerator
Author :
Publisher : IBM Redbooks
Total Pages : 204
Release :
ISBN-10 : 9780738440965
ISBN-13 : 0738440965
Rating : 4/5 (65 Downloads)

Book Synopsis Managing Ever-Increasing Amounts of Data with IBM DB2 for z/OS: Using Temporal Data Management, Archive Transparency, and the DB2 Analytics Accelerator by : Mehmet Cuneyt Goksu

Download or read book Managing Ever-Increasing Amounts of Data with IBM DB2 for z/OS: Using Temporal Data Management, Archive Transparency, and the DB2 Analytics Accelerator written by Mehmet Cuneyt Goksu and published by IBM Redbooks. This book was released on 2015-10-20 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® DB2® Version 11.1 for z/OS® (DB2 11 for z/OS or just DB2 11 throughout this book) is the fifteenth release of DB2 for IBM MVSTM. The DB2 11 environment is available either for new installations of DB2 or for migrations from DB2 10 for z/OS subsystems only. This IBM Redbooks® publication describes enhancements that are available with DB2 11 for z/OS. The contents help database administrators to understand the new extensions and performance enhancements, to plan for ways to use the key new capabilities, and to justify the investment in installing or migrating to DB2 11. Businesses are faced with a global and increasingly competitive business environment, and they need to collect and analyze ever increasing amounts of data (Figure 1). Governments also need to collect and analyze large amounts of data. The main focus of this book is to introduce recent DB2 capability that can be used to address challenges facing organizations with storing and analyzing exploding amounts of business or organizational data, while managing risk and trying to meet new regulatory and compliance requirements. This book describes recent extensions to DB2 for z/OS in V10 and V11 that can help organizations address these challenges.


Managing Ever-Increasing Amounts of Data with IBM DB2 for z/OS: Using Temporal Data Management, Archive Transparency, and the DB2 Analytics Accelerator Related Books

Managing Ever-Increasing Amounts of Data with IBM DB2 for z/OS: Using Temporal Data Management, Archive Transparency, and the DB2 Analytics Accelerator
Language: en
Pages: 204
Authors: Mehmet Cuneyt Goksu
Categories: Computers
Type: BOOK - Published: 2015-10-20 - Publisher: IBM Redbooks

DOWNLOAD EBOOK

IBM® DB2® Version 11.1 for z/OS® (DB2 11 for z/OS or just DB2 11 throughout this book) is the fifteenth release of DB2 for IBM MVSTM. The DB2 11 environment
IBM DB2 12 for z/OS Technical Overview
Language: en
Pages: 300
Authors: Meg Bernal
Categories: Computers
Type: BOOK - Published: 2019-07-03 - Publisher: IBM Redbooks

DOWNLOAD EBOOK

IBM® DB2® 12 for z/OS® delivers key innovations that increase availability, reliability, scalability, and security for your business-critical information. In
Managing Ever-increasing Amounts of Data with IBM DB2 for Z/OS
Language: en
Pages:
Authors: Mehmet Cuneyt Goksu
Categories: Database management
Type: BOOK - Published: 2015 - Publisher:

DOWNLOAD EBOOK

Subsystem and Transaction Monitoring and Tuning with DB2 11 for z/OS
Language: en
Pages: 356
Authors: Paolo Bruni
Categories: Computers
Type: BOOK - Published: 2022-08-31 - Publisher: IBM Redbooks

DOWNLOAD EBOOK

This IBM® Redbooks® publication discusses in detail the facilities of DB2® for z/OS®, which allow complete monitoring of a DB2 environment. It focuses on th
Accelerating Data Transformation with IBM DB2 Analytics Accelerator for z/OS
Language: en
Pages: 216
Authors: Ute Baumbach
Categories: Computers
Type: BOOK - Published: 2015-12-11 - Publisher: IBM Redbooks

DOWNLOAD EBOOK

Transforming data from operational data models to purpose-oriented data structures has been commonplace for the last decades. Data transformations are heavily u