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    1. Data och IT
    2. Databaser

    Oracle Big Data Handbook

    AvTom Plunkett,Brian Macdonald

    Häftad, Engelska, 2013

    896 kr

    Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality,               authenticity, or access to any online entitlements included with the product.

    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 formigrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included inthis 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 andOracle 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

    Produktinformation

    • Utgivningsdatum:2013-10-16
    • Mått:223 x 228 x 22 mm
    • Vikt:768 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:464
    • Förlag:McGraw-Hill Education
    • ISBN:9780071827263

    Utforska kategorier

    • Databaser inom Data och IT

    Mer om författaren

    Tom Plunkett is a senior solution consultant with Oracle. Tom is a published author and has taught graduate-level computer science courses for Virginia Tech’s computer science department. Tom frequently speaks at conferences, including the Air Force Information Technology Conference, Armed Forces Communications and Electronics Association conferences, Big Data Camp, Cloud Camp, Collaborate, EclipseCon, Foresight Vision Weekend, Innovations in e-Learning Symposium, the International Cloud Symposium, Open Group Member Conferences, the OSD NDU Social Media Implementation Across Organizational Boundaries conference, the Red Hat Summit, the Redstone Arsenal IT Security & Assurance Conference, the SOA Symposium, SOA World, the Web 2.0 Expo, and other conferences. Previously, Tom worked for IBM and the United States Government, taught computer science for Virginia Tech, and practiced patent law for a law firm. Tom has a B.A. and a J.D. from George Mason University, and a M.S. in Computer Science from Virginia Tech. Helen Sun is the co-author of Oracle Big Data Handbook and wrote two chapters including Chapter 11 on Endeca and Chapter 13 on Big Data Architecture development. She has written one of the most downloaded white papers on Big Data (along with numerous other white papers on Information Architecture and Data Governance). Helen is the lead author of Oracle Information Architecture and Framework, and has spoken at various industry events including being a keynote speaker at Open Group’s World Conference on Big Data and Oracle Open World. Helen is a current Oracle employee working on Endeca integration and Oracle Big Data. She regularly performs demos and education sessions with Oracle customers on Endeca and analytics and real-world expertise on implementing business analytics using Endeca for a variety of industries including Financial Services, HealthCare, Research, Manufacturing, Retail, CGP, and Public Sector Robert (Bob) Stackowiak, VP, Enterprise Solutions, Oracle, has worked for over 20 years in the IT industry. His roles that have included software development, management of software development, systems engineering, sales and sales consulting, and business development. Bob has spoken at numerous computer related conferences and has conducted briefings with companies based around the world. He has coauthored several book including Oracle Essentials: Oracle Database 11g (4th Edition) by O’Reilly and Oracle Data Warehousing and Business Intelligence Solutions by Wiley. Additionally, his papers regarding data warehousing and computer and software technology have appeared in publications such as The Data Warehousing Institute's Journal of Data Warehousing and Data Warehousing Trends and Applications.

    Innehållsförteckning

    • Front Matter1 How to Use This Book Section I: Introduction1. Introduction to Big Data2. Big Data Use Cases3. Big Data, Concepts, Insights and Operational informationSection II: Big Data Platform4. The BigData platform BDA, Exadata, Exalytics, Endeca5. Why an Appliance6. Configuration optionsSection III: Acquiring and Organizing Data7. Map Reduce Theory and Programming8. BDA Connectors9. Oracle noSQLSection IV: Analyzing Information and Making Decisions10. In-Database Analytics Minig. OLAP11. Analyzing Data with R12. Discovery with Endeca