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Oracle Big Data Handbook

List Price: $84.00
SKU:
9780071827263
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  • Product Details

    Author:
    Tom Plunkett, Mark Hornick, Robert Stackowiak, Bruce Nelson, Helen Sun, Khader Mohiuddin, Keith Laker, David Segleau, Brian Macdonald, Gokula Mishra, Debra Harding
    Format:
    Paperback
    Publisher:
    McGraw Hill LLC (September 25, 2013)
    Audience:
    General/trade
    ISBN-13:
    9780071827263
    ISBN-10:
    0071827269
    Weight:
    27.2oz
    File:
    McGrawHill-MH_ONIX_V30_US_onix30_all(26_05_12)-20260512.xml
    Folder:
    McGrawHill
    As low as:
    $64.68
    List Price:
    $84.00
    Dimensions:
    8.8" x 9" x 0.9"
    Case Pack:
    14
    Publisher Identifier:
    P-MCGRAW
    Discount Code:
    A
    Pages:
    464
    Pub Discount:
    55
    Imprint:
    McGraw Hill
  • Overview

    Transform Big Data into Insight

    "In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache Hadoop

    Cowritten by members of Oracle's big data team, Oracle Big Data Handbook provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings. Best practices for migrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included in this Oracle Press guide.

    • Understand the value of a comprehensive big data strategy
    • Maximize the distributed processing power of the Apache Hadoop platform
    • Discover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop and Oracle NoSQL Database
    • Configure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data Appliance
    • Integrate your existing data warehousing and analytics infrastructure into a big data architecture
    • Share data among Hadoop and relational databases using Oracle Big Data Connectors
    • Understand how Oracle NoSQL Database integrates into the Oracle Big Data architecture
    • Deliver faster time to value using in-database analytics
    • Analyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop
    • Analyze disparate data with Oracle Endeca Information Discovery
    • Plan and implement a big data governance strategy and develop an architecture and roadmap