To make the most out of big data using the cloud, an enterprise must be able to move, manage, and analyze data while ensuring data integrity.
Seattle, WA (PRWEB) February 28, 2014
TDWI Research has released its newest Checklist Report, "Seven Considerations for Navigating Big Data Cloud Services." The report examines what enterprises must think about when evaluating the use of cloud services to manage their big data.
As disparate data types are exploding in size and velocity, organizations need to manage and get the greatest value from their big data, from transaction data and clickstreams to Web logs and sensor data.
“The cloud provides scalable storage, computing power, and elastic resources. It is a large-scale distributed computing environment that can scale as data grows,” writes the report’s author, Fern Halper. She points out another advantage: cloud services can be implemented rapidly and spun up or down quickly as enterprise needs change.
Halper notes that TDWI is seeing more companies increase their use of cloud services, especially in hybrid cloud environments. Cloud services run the gamut, from bare-metal infrastructure-as-a-service (IaaS) to cloud data warehouses to full-service providers. “To make the most out of big data using the cloud, an enterprise must be able to move, manage, and analyze data while ensuring data integrity.” The problem, Halper explains, is that some cloud providers offer only pieces of this functionality.
The Checklist Report gives enterprises the information they need to search for and implement the services best meeting the needs of their organizations.
The report explains:
- Big data use cases that an enterprise may wish to move to the cloud
- Three issues that confront an enterprise when moving on-premises data to the cloud
- Data management options, including “run it yourself” and “native cloud services”
- How to integrate these services and perform analytics in the cloud, including basic reporting, visualization, and predictive analytics
- The importance of discussing security and privacy issues with a service provider
- Two key considerations about data governance when data resides in the cloud
- Other issues to discuss with your service provider, including cost, data location and ownership, and service-level agreements
This research was sponsored by Treasure Data.
For a complete copy of the report or to ask questions of the author, members of the press should contact Fern Halper at email@example.com.
The report is freely downloadable by the public at http://tdwi.org/research/2014/02/checklist-navigating-big-data-cloud-services.aspx; a short registration is required for those downloading a TDWI report for the first time.
About the Author
Fern Halper is director of TDWI Research for advanced analytics, focusing on predictive analytics, social media analysis, text analytics, cloud computing, and other “big data” analytics approaches. She has more than 20 years of experience in data and business analysis, and has published numerous articles on data mining and information technology. Halper is co-author of "Dummies" books on cloud computing, hybrid cloud, service-oriented architecture, service management, and big data. She has been a partner at industry analyst firm Hurwitz & Associates and a lead analyst for Bell Labs. Her Ph.D. is from Texas A&M University. You can reach her at firstname.lastname@example.org, or follow her on Twitter: @fhalper.
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Fern Halper, TDWI