How to Prioritize Big Data Quality
What is Big Data?
Big Data Planning Stages

Challenges of Virtualization for Big Data

Virtualized big data environments need to be adequately managed and governed to realize cost savings and efficiency benefits. If you rely on big data services to solve your analytics challenges, you need to be assured that the virtual environment is as well managed and secure as the physical environment.

Some of the benefits of virtualization, including ease of provisioning, can easily lead to management and security problems without proper oversight. Virtualization makes it easy for developers to create a virtual image, or a copy, of a resource. As a result, many companies have implemented virtualization only to find that the number of virtual images spirals out of control.

Problems to watch out for include the following:

  • Too many virtual images are created, leading to a sharp drop in server and memory performance.

  • Lack of control over the life cycle of virtual images leads to the introduction of security vulnerabilities.

  • An overabundance of virtual images increases storage costs and reduces cost savings.

  • Administrators may increase security risks through either malicious or uninformed management of virtual images.

  • Compliance requirements may be compromised if you are not able to accurately monitor virtual infrastructure logs.

  • Add a Comment
  • Print
  • Share
blog comments powered by Disqus
New Dimensions for the Big Data Planning Cycle
Big Data Web and Content Management
Enterprise Data Management and Big Data
Set the Right Foundation for Big Data
Ten Big Data Do’s and Don’ts
Advertisement

Inside Dummies.com