Information Management's DM RadioData may not technically weigh anything, but the forces of gravity apply nonetheless. Moving data requires time, energy, money and human resources, which is why data federation is a growing trend. When possible, information managers like to keep data where it is and only grab what's necessary at the appropriate time. Register for this episode of DM Radio to learn more about data virtualization. Hosts Eric Kavanagh and Justin Kern will interview Scott Lee of EMC, plus Bob Eve of Composite Software, Suresh Chandrasekaran of Denodo and Karl Ederle of Kapow Software.

BlogPeople, tech for information optimization increasingly vital to data investments
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BlogVersion 8 of technology integrates quality, MDM with information management

eBooks

The notion that information technology departments now support, and often encourage, the use of consumer class devices for business may have seemed bizarre a decade ago, but it’s now part of the new reality of business computing—and that means mobile BI needs to be an essential element in any IT organization’s business strategy.

Read this timely eBook and: learn more about mobile business intelligence’s key drivers, business benefits, and potential pitfalls such as security and performance optimization; discover important best practices for solutions evaluation, deployment and management.

NewsElastically scalable SQL/ACID Cloud Data Management System Starlings 1.0 built “of the cloud,” says 451 Group analyst

newsAs part of expansion plans, Minnesota-based audio and video storage and security provider pays $120 million in cash and stock acquisition

forecastSoftware market to grow 7.5 percent to 86.7 billion in 2013, according to IDC; RDBMS and data integration are bright spots

newsNew Jersey-based cloud management vendor comes with $104 million proposed price tag; Red Hat aims for expansion of its open hybrid cloud plans

TrendsDisruptive trends ahead marked by the systems to handle huge and changing data workloads, says Gartner’s Cappuccio

StrategyNavesink Consulting President Thomas C. Redman points to six imperatives when planning for next-generation business analytics
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newsData center infrastructure automation provider proposal shows Cisco’s continued activity in the back end of data center and cloud space

trendsOvum Research outlines trends in virtualization, sustainability and data management that it expects to take shape in the year to come

The Composite Data Virtualization Implementation Methodology and Best Practices are designed to integrate with your existing design, development and deployment processes. When blended with internal and external staff resources, this combination of knowledge, tools, processes and more enables both immediate implementation success and on-going self-sufficiency. This paper summarizes details key activities and resources to successfully navigate each stage including documentation, white papers, tools, consulting services and more. Armed with the proper knowledge and support, you will be able to avoid pitfalls and efficiently and effectively work through the implementation tasks.

The Composite Software Customer Value Program helps participating customers prospectively estimate business and IT value from your use of Composite solutions, as well as demonstrate and communicate value actually achieved to the appropriate internal and external constituents. For Composite prospects and customers who must measure and demonstrate value, this paper introduces the Composite Customer Value Framework and Customer Value Program.

This white paper provides a brief overview of the Composite Information Server platform and Query Processing Engine. It explains how various factors affect performance of applications using data services-based integration. The paper also describes a simple benchmarking test with Composite Information Server, which tests various aspects of the platform performance with single and multiple heterogeneous data.

In an environment of ever evolving needs and solutions, enterprises and government agencies must select the right data virtualization offering to meet their needs. To provide a systematic assessment approach, Composite Software has developed a Data Virtualization Platform Maturity Model. This Data Virtualization Leadership SeriesT white paper describes this model and how it can be used for both initial evaluation and on-going optimization of data virtualization platforms.