Big Data

The potential of big data has certainly captured the attention of the masses. The New York Times has described the “Age of Big Data,” and McKinsey has called big data “the next frontier for innovation, competition and productivity.” IT professionals charged with bringing the benefits of big data to their organizations are less concerned with the hype and more concerned with the reality of how to put big data to use in their organizations. For IT, big data is about creating an infrastructure built for speed, high availability, dense virtualization, simple scalability, agility and other characteristics that are defining the next-generation data center. In this section, we leave the hype to others as we focus on the reality of building real-world big data solutions.

Where To Pick Up the Speed Necessary for Big Data Analytics

Big data is about, well data: historically Business data, then recently Human data, and coming soon Machine data from the internet of things. Enabling companies to take wide varieties of raw data from many sources and use it to create actionable insight is what the Big data opportunity is all about. Big data can provide competitive advantage, with companies taking that insight and using it to deliver better products and services to customers. Continue Reading

Five Things to Know About Hadoop for Managing Unstructured Data

The rapid proliferation of unstructured data is one of the driving forces of the new paradigm of big data analytics. According to one study, we are now producing as much data every 10 minutes as was created from the beginning of recorded time through the year 2003. The preponderance of data being created is of the unstructured variety -- up to about 90%, according to IDC. Continue Reading