Title Page
by George Baklarz, Aamer Sachedina, Matthew Huras, Sam Lightstone, Paul Zikopoulos
DB2 10.5 with BLU Acceleration
- Cover
- Title Page
- Copyright Page
- About the Authors
- Contents at a Glance
- Contents
- Foreword
- Acknowledgments
- Introduction
- Chapter 1: All Aboard! 15-Minute DB2 10.5 Tour Starts Here
- What Was Delivered: A Recap of DB2 10.1
- DB2 10.1 Delivered Performance Improvements
- DB2 10.1 Delivered Even Lower Storage Costs
- DB2 10.1 Delivered Improved Availability and Scalability
- DB2 10.1 Delivered More Security for Multitenancy
- DB2 10.1 Delivered the Dawn of DB2 NoSQL Support
- DB2 10.1 Delivered Even More Oracle Compatibility
- DB2 10.1 Delivered Temporal Data Management
- Introducing DB2 10.5: The Short Tour
- DB2 pureScale Goes Ultra HA, DR, and More…
- DB2 as a JavaScript Object Notation Document Store
- Oracle Compatibility
- Tools, Tools, Tools
- Wrapping It Up…
- What Was Delivered: A Recap of DB2 10.1
- Chapter 2: DB2 pureScale Reaches Even Higher
- Chapter 3: BLU Acceleration: Next-Generation Analytics Technology Will Leave Others “BLU” with Envy
- What Is BLU Acceleration?
- Convince Me to Take BLU Acceleration for a Test Drive
- How BLU Acceleration Came to Be: The Seven Big Ideas
- Big Idea Number 1: KISS It
- Big Idea Number 2: Actionable Compression and Computer-Friendly Encoding
- Big Idea Number 3: Multiplying the Power of the CPU
- Big Idea Number 4: Parallel Vector Processing
- Big Idea Number 5: Get Organized…by Column
- Big Idea Number 6: Dynamic In-Memory Processing
- Big Idea Number 7: Data Skipping
- Seven Big Ideas Optimize the Hardware Stack
- When Seven Big Ideas Deliver One Incredible Opportunity
- Under the Hood: A Quick Peek Behind the Scenes of BLU Acceleration
- BLU Acceleration Is a New Format for the Bytes in a Table, NOT a New Database Engine
- The Day In and Day Out of BLU Acceleration
- Informational Constraints, Uniqueness, and BLU Acceleration
- Getting the Data to BLU: Ingestion in a BLU Acceleration Environment
- Automated Workload Management That Is BLU-Aware
- Querying Column-Organized and Row-Organized Tables
- The Maintenance-Free Life of a BLU Acceleration Table
- Getting to BLU-Accelerated Tables
- Ready, Set, Go! Hints and Tips We Learned Along the Way
- First Things First: Do This!
- Automated Memory Tuning
- For Optimal Compression Results…
- Data Statistics? Don’t Bother, We’ve Got It Covered
- INSERT Performance
- How to Skip More: Get the Most Out of Data Skipping
- A NextGen Database Does Best with the Latest Hardware
- Memory, Memory, and More Memory
- Converting Your Row-Organized Tables into Column-Organized Tables
- Wrapping It Up…
- Chapter 4: Miscellaneous Performance and SQL Compatibility Enhancements
- Chapter 5: Miscellaneous Availability Enhancements
- Chapter 6: DB2 10.5: New Era Applications
DB2 10.5
with BLU Acceleration
with BLU Acceleration
New Dynamic In-Memory Analytics
for the Era of Big Data
Paul Zikopoulos
Sam Lightstone
Matt Huras
Aamer Sachedina
George Baklarz
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