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Data, Data Everywhere: A Special Report on Managing Information

Source: The Economist
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.


Featured publications:

Enabling Real-Time Sharing and Synchronization over the WAN
Source: Solace Systems Inc. Driven by increasing business demands and the availability of technologies like in-memory databases, change data capture software, big data storage systems, and complex event processing engines, some organizations are looking to enterprise data grids to accelerate, optimize, and scale their IT infrastructure. Managing big data scale transactional and event stream information is about more than just storing massive amounts of data; it requires the intelligent collection, filtration, sharing and exposure of information via enterprise apps connected by LANs, WANs, and cloud/grid environments. Read More...
Big Data Movement—Managing Large-Scale Information in the Constantly Connected World
Source: Solace Systems Inc. Many forces in today's world of big data are driving applications to become more real-time. Data needs to go many places, be sorted and stored in different formats, and used in a wide variety of ways. Capturing high volume data streams inside and outside datacenters can be complicated and expensive using traditional software messaging middleware on general purpose servers. In order to realize the full value of “big data” some organizations are switching to real-time message-oriented middleware appliances that excel at the high-speed distribution of large volumes of data. Read More...
Product Analysis Report: IBM Cognos and SPSS Solutions
Written By: Jorge Garcia Published On: December 17 2013 Many organizations today have come to realize that using data effectively should be a key component of their business strategy. Businesses can expand and improve the information analysis capabilities gained through BI by using predictive analytics to anticipate risks and outcomes, predict trends, and discover unseen patterns in data. IBM SPSS solutions provide a complete set of predictive analytics capabilities and a flexible set of integration points with Cognos Business Intelligence. Read the report to learn more about how IBM Cognos software capabilities can be extended with the use of IBM SPSS predictive analytics capabilities. Read More...


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