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03 Feb 12, 02:02:00
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"Database Discontent" report, a top item on IT departments' 2012 to-do list is handling big data in a way that allows for change over time. According to Joseph P. Raiti Jr., managing director of Blue Slate Solutions and co-author of the report, there is a perfect storm of factors driving the need for data analysis. Changes in technology during the last 15 years have pushed businesses to adopt the Web and field more end user applications, which results in far more transactions and data on those transactions. The increased volume combined with rapidly dropping data storage costs has created an environment that is continuously generating and storing more and more data, he said. "Given this growing transactional data along with environments that support big data analysis, businesses have now identified an ability to gain value by analyzing the data they are generating in transactional systems and, more recently, data being generated by their own process automation tools," Raiti said. The process and productivity improvements gained through the Web and implementing new and more integrated transactional systems have created a certain level of process entitlement within enterprises, he added. As the amount of data available in an enterprise continues to grow, it's becoming a chore to track, manage and understand that data. Additionally, data is scattered in different places--on-premise storage, cloud-based storage, virtualized systems, desktop and notebook hard drives, and across a growing number of mobile devices (some owned by the enterprise and others owned by the worker). The process and productivity improvements gained through the Web and implementing new and more integrated transactional systems have created a certain level of process entitlement within enterprises, he added. "Knowing where to look in the data is becoming the new focus of analysis," said David Read, CTO of Blue Slate Solutions and co-author of the report. "For years, business subject matter experts [SMEs] have defined reports, cubes, universes and so forth. Understanding the data, where the interesting and potentially profit-driving enlightenment could be found, was defined manually." Data is no longer managed so simply, though. With the significant depth and breadth of data contained inside and outside the enterprise, in addition to the high volume of transactions that are continually generating more data, there is no reasonable way for people to know where to look when seeking out actionable knowledge, Read said. Predictive analytics will likely outpace reporting and traditional business intelligence efforts in the future, and they will be used to inform SMEs about where to invest their business intelligence efforts, he added.IT departments often use SQL-based systems for performing operations on data of a uniform type, but the analysis breaks down when it comes to unstructured data. Some enterprises have found the answer in NoSQL, but according to the report, that's not always effective because as the average size of enterprise data stores increases, the feasibility of restructuring and reloading each time the business requires a new view of its data will decrease. As the fundamental way data is structured changes, semantic technology will be the solution. Semantic technology has matured in the last few years, and Read and Raiti said they expect it to become the new gold standard for housing enterprise data. Analysis tools in general have matured in their capabilities while also dropping in price. "The analysis tools to get this done have grown in capability and have also reduced in price. So there really is a confluence of mature technology producing large amounts of data in organizations where process improvements have become harder to find and the easier place to gain value is through data analysis," Raiti said. Learn more about "State of Database Technology" by subscribing to Network Computing Pro Reports (free, registration required).
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The report also found that virtualized workloads are expected to nearly double by 2015, from 37% to 63%, leading to an estimated government-wide savings of $23.6 billion. Among federal agencies, 57% believe server virtualization takes priority over desktop virtualization, compared with 64% of state and local respondents. Although some form of desktop virtualization will be implemented by government agencies, less than one in 10 plans to virtualize all applications for all users, according to the report, which was underwritten by Microsoft and NetApp.
The reason for the low number is that "agencies are still getting their arms around server virtualization and private cloud, and desktop and application virtualization are yet another paradigm shift,'' noted Susie Adams, Microsoft Federal's CTO, in an email. Respondents say the top challenges associated with desktop and application virtualization include incompatible business applications, security concerns, lack of end-user training, increased complexity and uncertain ROI.
The transition of VDI from largely try to must-buy status has been slower than predicted, but prospects are improving. Technologies that enable desktop virtualization, of which VDI is only one, are finally maturing to the point where enterprises can realize ROI, says Karin Kelley, analyst, infrastructure management, at 451 Research.
Survey respondents appear to be willing to wait for the savings to be had from virtualization projects. Some 57% say they expect to wait a year or more to realize savings once a server virtualization implementation is completed and operational.
"In an era of cost-consciousness, virtualization is literally doing more with less,'' said Adams. "Not only have agencies already realized savings, they also estimate saving an additional $30 billion. Those savings mean the possibility of fewer cuts for citizen services. That is simply better government."
Adams added that virtualization is the "next step down the road to larger savings initiatives." If agencies combine server consolidation, data center consolidation and private cloud infrastructures, she maintained, they can realize even more scalability, cost saving, improved services and integrated management.
Tying a well-conceived virtualization strategy to data center consolidation can lead to many benefits, according to the federal Data Center Consolidation Initiative (FDCCI), in an August, 2011 report, Federal Data Centers: Server Virtualization, by InformationWeek Analytics. The FDCCI, part of the office of Management and Budget, requires agencies to take an inventory of data center assets, develop consolidation plans and integrate those plans into their fiscal year 2012 budget submissions.
The key benefits of server virtualization identified by the FDCCI are reduced energy consumption, lower facilities and server maintenance/operations costs, and improved automation of server management and provisioning. Other benefits include lower data center complexity, rapid provisioning and support for continuity of operations, the InformationWeek Government report states.
Virtualization "dramatically" reduces the time to provision servers, down from day or weeks with physical servers to minutes or hours with virtual servers, according to the report. Virtual servers can be moved faster and easier than physical servers, expediting the process of consolidating dispersed computing environments into a central location. Space savings is listed as another big benefit.
The MeriTalk report was based on an online survey of 302 government agency CIOs, CTOs, IT directors/supervisors, IT managers, and data center managers conducted in October 2011.
Learn more about Strategy: Delegation Delivers Virtualization Savings by subscribing to Network Computing Pro Reports (free, registration required).
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