Book description
Transforming data from operational data models to purpose-oriented data structures has been commonplace for the last decades. Data transformations are heavily used in all types of industries to provide information to various users at different levels. Depending on individual needs, the transformed data is stored in various different systems.
Sending operational data to other systems for further processing is then required, and introduces much complexity to an existing information technology (IT) infrastructure. Although maintenance of additional hardware and software is one component, potential inconsistencies and individually managed refresh cycles are others.
For decades, there was no simple and efficient way to perform data transformations on the source system of operational data. With IBM® DB2® Analytics Accelerator, DB2 for z/OS is now in a unique position to complete these transformations in an efficient and well-performing way. DB2 for z/OS completes these while connecting to the same platform as for operational transactions, helping you to minimize your efforts to manage existing IT infrastructure.
Real-time analytics on incoming operational transactions is another demand. Creating a comprehensive scoring model to detect specific patterns inside your data can easily require multiple iterations and multiple hours to complete. By enabling a first set of analytical functionality in DB2 Analytics Accelerator, those dedicated mining algorithms can now be run on an accelerator to efficiently perform these modeling tasks.
Given the speed of query processing on an accelerator, these modeling tasks can now be performed much quicker compared to traditional relational database management systems. This speed enables you to keep your scoring algorithms more up-to-date, and ultimately adapt more quickly to constantly changing customer behaviors.
This IBM Redbooks® publication describes the new table type that is introduced with DB2 Analytics Accelerator V4.1 PTF5 that enables more efficient data transformations. These tables are called accelerator-only tables, and can exist on an accelerator only.
The tables benefit from the accelerator performance characteristics, while maintaining access through existing DB2 for z/OS application programming interfaces (APIs). Additionally, we describe the newly introduced analytical capabilities with DB2 Analytics Accelerator V5.1, putting you in the position to efficiently perform data modeling for online analytical requirements in your DB2 for z/OS environment.
This book is intended for technical decision-makers who want to
get a broad understanding about the analytical capabilities and
accelerator-only tables of DB2 Analytics Accelerator. In addition,
you learn about how these capabilities can be used to accelerate
in-database transformations and in-database analytics in various
environments and scenarios, including the following
scenarios:
Multi-step processing and reporting in IBM DB2 Query Management
Facility™, IBM Campaign, or Microstrategy
environments
In-database transformations using IBM InfoSphere®
DataStage®
Ad hoc data analysis for data scientists
In-database analytics using IBM SPSS® Modeler
Table of contents
- Front cover
- Notices
- IBM Redbooks promotions
- Preface
- Chapter 1. Analytics on an IBM z Systems environment
- Chapter 2. Accelerator-only tables
-
Chapter 3. Use cases that are enabled by accelerator-only tables and in-database analytics
- 3.1 The four use cases of the DB2 Analytics Accelerator
- 3.2 How accelerator-only tables and in-database analytics extend use cases
- 3.3 Acceleration of existing business critical queries
- 3.4 Derive business insight from z/OS transaction systems
- 3.5 Reduce IT sprawl for analytics initiatives
- 3.6 Improve access to historical data and lower storage costs
- 3.7 Summary
- Chapter 4. Multistep reporting
-
Chapter 5. Using IBM DB2 QMF to store query results and import tables
- 5.1 QMF and IBM z Systems
- 5.2 QMF for z/OS and DB2 Analytics Accelerator
-
5.3 Running queries and saving results using a QMF procedure
- 5.3.1 Queries used in the sample scenario
- 5.3.2 Running the procedure in DB2 for z/OS
- 5.3.3 Running the procedure in DB2 for z/OS and DB2 Analytics Accelerator
- 5.3.4 Running the procedure in DB2 Analytics Accelerator using accelerator-only tables created by the SAVE DATA AS command
- 5.3.5 Running the procedure in DB2 Analytics Accelerator using accelerator-only tables created by the RUN QUERY command
- 5.4 Importing tables as accelerator-only tables
- 5.5 Preferred practices
- Chapter 6. Accelerating IBM Campaign processing
-
Chapter 7. In-database transformations
- 7.1 In-database transformations
- 7.2 Custom transformation and extract, transform, and load processes
-
7.3 Accelerator and accelerator-only table usage in IBM InfoSphere DataStage
- 7.3.1 IBM InfoSphere Information Server
- 7.3.2 Things to consider for configuration
- 7.3.3 Basic accelerator usage within Data Stage
- 7.3.4 Accelerator maintenance through DataStage
- 7.3.5 Optimizing existing DataStage jobs
- 7.3.6 Pitfalls
- 7.3.7 Loading large amounts of data through DataStage to the Accelerator
- Chapter 8. Accelerator-only tables supporting data scientists’ ad hoc analysis
- Chapter 9. Integrating more data sources and archiving for analytics
- Chapter 10. In-database analytics
- Appendix A. Description of IBM z Systems environment used for this publication
- Related publications
- Back cover
Product information
- Title: Accelerating Data Transformation with IBM DB2 Analytics Accelerator for z/OS Understanding and Using Accelerator-only Tables
- Author(s):
- Release date: December 2015
- Publisher(s): IBM Redbooks
- ISBN: 9780738441191
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