Information Management: Strategies for Gaining a Competitive Advantage with Data

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. Balances business and technology, with non-product-specific technical detailShows how to leverage data to deliver ROI for a businessEngaging and approachable, with practical advice on the pros and cons of each domain, so that you learn how information fits together into a complete architecture Provides a path for the data warehouse professional into the new normal of heterogeneity, including NoSQL solutions INDICE: 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

• ISBN: 978-0-12-408056-0
• Editorial: Morgan Kaufmann
• Encuadernacion: Rústica
• Páginas: 208
• Fecha Publicación: 26/01/2014
• Nº Volúmenes: 1
• Idioma: Inglés