Information Management : Strategies for Gaining a Competitive Advantage with Data (The Savvy Manager's Guides)

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Information Management : Strategies for Gaining a Competitive Advantage with Data (The Savvy Manager's Guides)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 214 p.
  • 言語 ENG
  • 商品コード 9780124080560
  • DDC分類 005.74

Full Description

Information Management: Gaining a Competitive Advantage with Data is about making smart decisions to make the most of company information. Expert author William McKnight develops the value proposition for information in the enterprise and succinctly outlines the numerous forms of data storage. Information Management will enlighten you, challenge your preconceived notions, and help activate information in the enterprise. Get the big picture on managing data so that your team can make smart decisions by understanding how everything from workload allocation to data stores fits together.

The practical, hands-on guidance in this book includes:



Part 1: The importance of information management and analytics to business, and how data warehouses are used
Part 2: The technologies and data that advance an organization, and extend data warehouses and related functionality
Part 3: Big Data and NoSQL, and how technologies like Hadoop enable management of new forms of data
Part 4: Pulls it all together, while addressing topics of agile development, modern business intelligence, and organizational change management

Read the book cover-to-cover, or keep it within reach for a quick and useful resource. Either way, this book will enable you to master all of the possibilities for data or the broadest view across the enterprise.

Contents

Part 1: No Matter What Business You're In, You're in the Business of Information

Chapter 1. Relational Theory in Practice: Data Warehouses and Data Marts

Chapter 2. Business Intelligence is Everywhere and You're in the Business of Analytics

Chapter 3. Data Quality: Passing the Standard

Part 2: Beyond the Data Warehouse

Chapter 4. Data Warehouse Appliances and Columnar Approaches

Chapter 5. Master Data Management

Chapter 6. Data Stream Processing

Chapter 7. Data Virtualization

Chapter 8. Syndicated Data

Part 3: Big Data

Chapter 9. Hadoop: Analytics at Scale

Chapter 10. Key-Value Stores, Document Stores, and Column Stores

Chapter 11. Graph Databases

Chapter 12. Cloud Computing

Part 4: Putting it all Together

Chapter 13. An Elegant Architecture Where Information Flows

Chapter 14. Collaboration, Mobile and Self-Service

Chapter 15. Information Security

Chapter 16. Agile Approaches, Specifically SCRUM

Chapter 17. Organizational Change Management

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