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Produktbild: DB2 10.5 with Blu Acceleration

DB2 10.5 with Blu Acceleration New Dynamic In-Memory Analytics for the Era of Big Data

18,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.10.2013

Abbildungen

Illustrationen, nicht spezifiziert

Verlag

Mcgraw Hill Higher Education

Seitenzahl

168

Maße (L/B/H)

22,8/15,3/1,2 cm

Gewicht

236 g

Sprache

Englisch

ISBN

978-0-07-182349-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.10.2013

Abbildungen

Illustrationen, nicht spezifiziert

Verlag

Mcgraw Hill Higher Education

Seitenzahl

168

Maße (L/B/H)

22,8/15,3/1,2 cm

Gewicht

236 g

Sprache

Englisch

ISBN

978-0-07-182349-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: DB2 10.5 with Blu Acceleration

  • 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 with BLU Acceleration
    A Final Thought Before You Delve into the Wild BLU Yonder
    DB2 pureScale Goes Ultra HA, DR, and More...
    DB2 as a JavaScript Object Notation Document Store
    Oracle Compatibility
    Tools, Tools, Tools
    Wrapping It Up...
    Chapter 2: DB2 pureScale Reaches Even Higher
    In Case It's Your First Time... Recapping DB2 pureScale
    You Can Put DB2 pureScale in More Places
    DB2 pureScale Gets Even More Available
    DB2 pureScale Gets High Availability Disaster Recovery
    Keep on Rolling, Rolling, Rolling: DB2 Fix Pack Updates Go Online
    Adding Members Online
    Cross-Topology Backup and Restore
    Workload Consolidation in a DB2 pureScale Environment
    Explicit Hierarchical Locking
    Wrapping It Up...
    Chapter 3: BLU Acceleration: Next-Generation Analytics Technology Will Leave Others "BLU" with Envy
    What Is BLU Acceleration?
    Next-Generation Database for Analytics
    Seamlessly Integrated
    Hardware Optimized
    Convince Me to Take BLU Acceleration for a Test Drive
    Pedal to the Floor: How Fast Is BLU Acceleration?
    From Minimized to Minuscule: BLU Acceleration Compression Ratios
    Where Will I Use BLU Acceleration?
    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
    Expression-Based Indexes
    Get Faster: Query Processing Before and After DB2 10.5 with Support for Index Expressions
    Expression-Based Indexes Make Application Development Easier
    Excluding NULL Keys from Indexes
    Index NULL Exclusion Simplifies Application Development
    When 2 + 2 = 4: Getting Even Richer Semantics by Combining Features
    Random Ordering for Index Columns
    To Random Order an Index Column or Not to Random Order an Index Column...That Is the Question
    More Data on a Row: Extended Row Size
    Chapter 5: Miscellaneous Availability Enhancements
    Better Online Space Reclamation for Insert Time Clustering Tables
    Understanding Insert Time Clustering Tables-A Primer
    What's New for Insert Time Clustered Tables in DB2 10.5
    Other DB2 10.5 Reorganization Enhancements
    Fastpath! Collapsing Overflow and Pointer Records
    Support for Adaptive Compression with Online, In-place Reorganization
    Support for ADMIN_MOVE_TABLE Routine with Referential Constraints
    Wrapping It Up...
    Chapter 6: DB2 10.5: New Era Applications
    What's in the NoSQL Name?
    DB2 pureXML: Where DB2 First Dipped Its "Toe" in the NoSQL Pool
    DB2 as a Graph Database: RDF, SPARQL, and Other Shiny Things
    DB2 as a JSON Document Store
    What Does JSON Look Like? JSON Document Structure
    Frequent Application Changes
    Flexible Data Interchange
    Document Store Databases
    Manipulating JSON Documents with DB2
    Wrapping It Up...