Virtualizing Data in Databases:
by Woodrow Evans, Kyle Hailey

Item# 1430261544
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Virtualizing Data in Databases is about building on the techniques for virtualization that have been so successful in easing the management and cost of server infrastructure, and extending those techniques to the virtualization of corporate data. If youíve ever been frustrated over the seemingly simple tasks of provisioning test databases for development projects, or spinning off reporting databases in response to fast-changing business opportunities, then youíre going to find much to like in this book.

New techniques for data virtualization are built around recognizing that most of what sits in a given database remains static. To clone a database, one need only clone the small amount of data that is changing, and then to keep track of the ever-changing delta between clone and source. Virtualization helps you respond with swiftness and agility to the flood of ever-changing business requests that currently leave you harried and haggard.

Creating a snapshot for reporting becomes a five-minute task involving a few button-clicks. Does every developer want their own copy of production in their development sandbox? You can give them that, and with almost no expenditure for additional storage. Migrating data into the cloud and back again can be done transparently. Data Virtualization is your introduction to the new world of software making all these things possible by transforming data management into an agile and responsive business asset.

  • Explains the foundation for the virtualizing of corporate data
  • Compares and contrasts different cloning technologies
  • Presents case-studies highlighting the benefits to be obtained

What youíll learn

  • Accelerate application development by providing each application developer with their own production sandbox, and at almost no additional cost for additional storage.
  • Provide continuously fresh data to development and test projects at a cost less than you currently incur to provide stale and infrequently-refreshed data.
  • Support enterprise testing efforts with high-quality data fresh from production that can be refreshed upon a momentís notice to support iterative regression testing.
  • Enable enterprise business intelligence by providing stable snapshots of data with unprecedented swiftness and agility.
  • Transparently move data into and out of cloud environments, without incurring application downtime. Secure virtualized corporate data from insider threat, and outside attack.

Who this book is for

Virtualizing Data in Databases is aimed at those frustrated by the tangled difficulty involved in making production data available in swift and agile manner for enterprise reporting, for software development, for testing. The book also appeals to those wanting to decouple their data from specific storage platforms and gain new abilities to move data into the cloud. Virtualizing Data in Databases is written for the technology-minded business user and the management-minded technologist.

Table of Contents

Part I: Virtualization Basics
     Chapter 1: The Case for Innovation
     Chapter 2: Data Simplicity
     Chapter 3: Data Mobility
     Chapter 4: Data Velocity
     Chapter 5: State of the Industry

Part II: Cloning Technologies
     Chapter 6: Physical Clones
     Chapter 7: Thin Provision Clones
     Chapter 8: Data Virtualization

Part III: Case Studies
     Chapter 9: Development Acceleration
     Chapter 10: Quality-Assurance Acceleration
     Chapter 11: Recovery and Data Movement
     Chapter 12: Enterprise Initiatives and Processes
     Chapter 13: Commonly-Deployed Application Types

Part V: Database Virtualization in the Ecosystem
     Chapter 14: Security
     Chapter 15: High Availability
     Chapter 16: Transaction Performance
     Chapter 17: Best Practices




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Publisher: Apress
Page Count (est.): 225
ISBN10: 1430261544
ISBN13: 9781430261544
Cover: Paperback
Pub Date: 5/13/2014