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    IBM Infosphere: A Platform for Big Data Governance and Process Data Governance

    ISBN-10: 1583473823
    ISBN-13: 9781583473825
    Edition: 2013
    Author(s): Sunil Soares
    Description: Written by a leading expert in the field of information governance, this book is the only available that focuses specifically on IBM solutions and the convergence of two major trends in information management today: big data and information  More...
    List price: $16.95
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    List Price: $16.95
    Copyright Year: 2013
    Publisher: Independent Pub Group
    Binding: Paperback
    Pages: 112
    Size: 5.75" wide x 8.75" long x 0.25" tall
    Weight: 0.330
    Language: English

    Written by a leading expert in the field of information governance, this book is the only available that focuses specifically on IBM solutions and the convergence of two major trends in information management today: big data and information governance. Nontechnical in nature and geared toward business audiences responsible for the analytics of big data, the book provides a big data governance framework with three dimensions: big data types, information governance disciplines, and industries and functions. Practitioners can use the knowledge presented in this book to understand big data support across the IBM InfoSphere portfolio, including DataStage, Streams, QualityStage, MDM, Guardium, Optim, and Data Explorer. They will also learn about the integration between IBM Business Process Manager Express and IBM InfoSphere in terms of integrating information governance, big data, and business process management.

    Foreword
    Foreword
    Big Data Integration and Governance with IBM InfoSphere
    An Introduction to Big Data Governance
    The Big Data Governance Framework
    Big Data Types
    Information Governance Disciplines
    Industry and Functional Scenarios for Big Data Governance
    The IBM Big Data Platform
    IBM Big Data Products
    IBM Big Data Platform Differentiators
    Big Data Integration
    Bulk Data Movement
    Data Replication
    Data Virtualization
    Metadata
    Establish a Glossary That Represents the Business Definitions for Key Big Data Terms
    Tag Sensitive Big Data Within the Business Glossary
    Maintain Technical Metadata to Support Data Lineage and Impact Analysis
    Gather Metadata from Unstructured Documents to Support Enterprise Search
    Big Data Security and Privacy
    Identify Sensitive Big Data
    Flag Sensitive Big Data Within the Metadata Repository
    Mask Sensitive Big Data in Production and Non-Production Environments
    Monitor Access to Sensitive Big Data by Privileged Users
    Big Data Quality
    Leverage Semi-Structured and Unstructured Data to Improve the Quality of Sparsely Populated Structured Data
    Use Streaming Analytics to Address Data Quality Issues In-Memory Without Landing Interim Results to Disk
    Cleanse Big Data Before or After Processing in Hadoop
    Master Data Integration
    Improve the Quality of Master Data to Support Big Data Analytics
    Leverage Big Data to Improve the Quality of Master Data
    Improve the Quality and Consistency of Key Reference Data to Support the Big Data Governance Program
    Extract Meaning from Unstructured Text to Enrich Master Data
    Enrich Customer Master Data with Insights from Social Media to Create Social MDM
    Turbo-Charge MDM with Hadoop Technologies
    Managing the Lifecycle of Big Data
    Expand the Retention Schedule to Include Big Data Based on Local Regulations and Business Needs
    Document Legal Holds and Support eDiscovery Requests
    Compress and Archive Big Data on Hadoop to Reduce Storage Costs
    Archive Big Data in Immutable Format with Seamless Access to Hadoop for Analytics
    Manage the Lifecycle of Real-Time, Streaming Data
    Defensibly Dispose of Big Data No Longer Required Based on Regulations and Business Needs
    Process Data Governance with IBM InfoSphere
    An Introduction to Process Data Governance
    Retail Case Study: Process Data Governance of Social Media
    Oil and Gas Case Study: Process Data Governance of Sensor Data
    Healthcare Case Study: Process Data Governance of Big Claims Transaction Data
    A Primer on Claim Codes Used by Health Plans
    Notes
    Appendix: Reviewer and Contributor Profiles

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