Operational Big Data Management
WHAT YOU WILL LEARN IN THIS CHAPTER:
- Building Hybrid Big Data Environments
- Integrating Cloud and On-premise Solutions
- Preparing for Disaster Recovery and High Availability in Your Big Data Environment
- Complying with Privacy Laws
- Creating Operational Analytics
Operationalizing your big data solution includes integrating multiple sources, providing a platform for analysis and reporting, and providing analytics for the solution so that you can monitor and improve the environment as needed. All of this requires planning and attention to detail.
This chapter focuses on many of those things that you need to do to make your big data implementation a success. The chapter first focuses on hybrid big data environments, where efficient data movement is key. You will then learn about the possibilities for backups and disaster recovery so that your solution can withstand catastrophes. You'll also take a look at privacy issues to ensure that you are always vigilant with personally identifiable information (PII). The chapter then delves into the analytics you will need to collect to ensure that your solution can grow with the additional demands put on it by growing data sets and user bases.
Hybrid Big Data Environments: Cloud and On-premise Solutions Working Together
The promise of working with an elastic-scale cloud solution such as HDInsight may be intriguing ...
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