- Full Description
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 youve 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 youre 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 youll 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 moments 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
Table of ContentsPart 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
If you think that you've found an error in this book, please let us know about it. You will find any confirmed erratum below, so you can check if your concern has already been addressed.No errata are currently published