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