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

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

출판사 설명

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 MVS™. 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.

장르
컴퓨터 및 인터넷
출시일
2015년
10월 20일
언어
EN
영어
길이
204
페이지
출판사
IBM Redbooks
판매자
International Business Machines Corp
크기
2.3
MB
DB2 10 for z/OS Technical Overview DB2 10 for z/OS Technical Overview
2014년
Architecting and Deploying DB2 with BLU Acceleration Architecting and Deploying DB2 with BLU Acceleration
2015년
Accelerating Data Transformation with IBM DB2 Analytics Accelerator for z/OS Accelerating Data Transformation with IBM DB2 Analytics Accelerator for z/OS
2015년
Reliability and Performance with IBM DB2 Analytics Accelerator V4.1 Reliability and Performance with IBM DB2 Analytics Accelerator V4.1
2015년
IBM DB2 12 for z/OS Technical Overview IBM DB2 12 for z/OS Technical Overview
2019년
DB2 11 for z/OS Technical Overview DB2 11 for z/OS Technical Overview
2016년
TCP/IP Tutorial and Technical Overview TCP/IP Tutorial and Technical Overview
2006년
Advanced Networking Concepts Applied Using Linux on IBM System z Advanced Networking Concepts Applied Using Linux on IBM System z
2012년
IPv6 Introduction and Configuration IPv6 Introduction and Configuration
2012년
Network Intrusion Prevention Design Guide: Using IBM Security Network IPS Network Intrusion Prevention Design Guide: Using IBM Security Network IPS
2011년
IT Security Compliance Management Design Guide with IBM Tivoli Security Information and Event Manager IT Security Compliance Management Design Guide with IBM Tivoli Security Information and Event Manager
2010년
IBM/Cisco Multiprotocol Routing: An Introduction and Implementation IBM/Cisco Multiprotocol Routing: An Introduction and Implementation
2009년
Accelerating Data Transformation with IBM DB2 Analytics Accelerator for z/OS Accelerating Data Transformation with IBM DB2 Analytics Accelerator for z/OS
2015년
IBM Spectrum Scale: Big Data and Analytics  Solution Brief IBM Spectrum Scale: Big Data and Analytics  Solution Brief
2019년
BigData Analytics: Solution Or Resolution? BigData Analytics: Solution Or Resolution?
2017년
Big Data Analytics with IBM Cognos Dynamic Cubes Big Data Analytics with IBM Cognos Dynamic Cubes
2015년
Data & Analytics Reading Sampler Data & Analytics Reading Sampler
2013년
Real-Time Big Data Analytics: Emerging Architecture Real-Time Big Data Analytics: Emerging Architecture
2013년