Virtualization for Next-Level Financial Trading

Enterprises should never lose sight of the end game of Big Data: improving business decisions based on actionable, data-driven intelligence. Today’s analytics platforms, low-cost storage and powerful in-memory computing solutions now place a powerful set of tools at the disposal of hands-on IT professionals.

By its very nature, Big Data exceeds the ability of traditional infrastructure and analytical tools. From a networking perspective alone, Big Data most assuredly has the potential to saturate current deployments.

Benefiting from Big Data is not as easy as switching on a light switch, which too many executives incorrectly assume. Read on to discover where organizations can yield cost savings and productivity gains resulting from sound Big Data technology implementations.

By 2020, the health care industry will have to accommodate approximately 25,000 petabytes of data - a 50 - fold increase above 2012 levels. Read on and find out how Big Data can help hospitals and health care organizations derive actionable, data-driven insights.

Through their partnership, IIS and Hortonworks seek to enable a new enterprise data platform to power an innovative, modern data architecture.

As in-memory computing takes further steps toward maturity, the price of high-performance computing solutions will continue to become more favorable for enterprises vetting the latest solutions on the market.

85% of data growth by 2020 will come from new types of data. Learn about the many shortcomings of today's overwhelmed enterprise data warehouses and how to address them.

Today, leveraging “big data” properly can lead to innovative answers to some of the most difficult, time-honored marketing questions.

The hurdle many organizations face is how to bridge the understanding gap between CMOs and CIOs regarding real-world Big Data implementations - and opportunities.

Enterprises face radical organization change over the next five years as NewSQL technologies become standard for big data within cutting-edge companies.

A recent survey sponsored by Forbes sheds light on the real-world results of using Big Data in the marketing realm. In fact, in many organizations today, the marketing function is the most ardent champion of Big Data projects.

More than half of large businesses cite their top challenge as turning analytical insights into business actions.

The internal and external data that businesses accumulate has been exploding at a fantastic rate. This rich set of data can be leveraged to help companies gain new insights into their businesses. The goals include generating meaningful historic analytics, obtaining insight into current business operation and results, and ultimately using predictive analysis to project potential opportunities and setbacks. However, using legacy systems to accomplish these goals usually involves long hours, even days, not to mention the expense of the legacy system.