Data Center Power Featured Articles
Big Data Virtualization Appears to be Hot Trend
Big data virtualization helps businesses to analyze the increasing amount of big data they have at their disposal. Unless it is analyzed, put in forms that can be understood by business leaders and then applied to the market – it becomes of questionable use.
According to a recent report from the Smart Data Collective virtualization lets businesses get increased “agility in handling and analyzing the data they’re collecting. Data virtualization basically gives businesses almost instant access to as much data as they want in whatever form they want.”
As an added plus, big data virtualization lets an application “retrieve and manipulate data without needing to know how the data is stored or formatted,” the report said. Other benefits include a reduced risk of data errors; the prevention of data failure or corruption; and quicker processing for data analysis, the report added.
In addition, data virtualization makes sure data are “well integrated with other systems so that enterprises can harness big data for analytics and operations,” Suresh Chandrasekaran, senior vice president, North America, Denodo Technologies, wrote on DataInformed.com. A Forrester (News - Alert) Research report, “Data Virtualization Reaches Critical Mass,” also found that “integration of big data expands the potential for business insight.”
To see the marketplace response to the new big data virtualization trend, just look at the announcement recently that SAS (News - Alert) Federation Server will ship this quarter with big data virtualization.
It gives access to big data stores on Hadoop, SAP HANA, Oracle (News - Alert), and DB2, according to a statement from SAS. “This data-as-a-service approach provides easily consumable access to shared, secure enterprise data to speed and simplify data preparation. SAS has also beefed up security, data masking and data governance within SAS Federation Server to ensure proper policies, access and restrictions for sensitive data,” SAS added.
In addition, Virtualization Review cited recent statements from SAS which said that, “data virtualization technologies provide the ability to view data from multiple sources through an integrated, virtual data view."
“While the data remains stored in original sources, multiple systems can 'see' integrated data that appears as a single view. Organizations often implement [Master Data Management] and data federation technologies in isolation, without regard to the potential power of using them in tandem," the statement adds.
In a related trend, CSC (News - Alert) predicted that this year new big data infrastructure found at many companies will be put to use. “Given the explosion in the amount of data, businesses will increasingly want to analyze that data to make better decisions,” according to a recent article from TMCnet. “It is especially useful when businesses want to spot trends in a market, about their customers, or even about the company itself.”
Edited by Alisen Downey
Data Center Power Resources
Featured White Papers
As the need to balance current and future IT requirements against resource consumption becomes more urgent, the data center industry increasingly views capacity planning as a way of achieving a critical component to planning a new build or retrofit. Data center capacity planning can be a complex undertaking with far-reaching strategic and operational implications. DCD Intelligence has therefore compiled this White Paper in order to share some industry insights and lessons on the practical steps that are needed to develop a successful power and capacity planning strategy.[Read More]
Server Technology had the recent opportunity, along with other partner companies, to participate in discussions across the globe with data center IT and facility managers as part of a road show seminar: Data Center Energy and Operational Efficiency.[Read More]
The demand for more power in the computer cabinet has led many data centers to upgrade to three phase power distribution. Proper three phase power distribution has traditionally meant dividing up power up into multiple branches within the rack PDU (Power Distribution Unit). In this paper we will explore the advantages of a new, less common approach to PDU design by means of alternating each phase on a per-receptacle basis instead of a per branch basis.[Read More]
Increasing powering and cooling demands within the data center have been the topics of choice for Data Center (DC) and Facility Managers for several years now. Increased power demands are a result of the need for more compute power and higher density devices have resulted. These high density installations include stacks and stacks of servers and the trend of implementing blade servers within these server "farms." Cooling problems are a direct result of the increased power demands based on the simple fact that more power increases the demand for cooling.[Read More]