We’ve all seen the stats: The world’s data is doubling every two years and will reach 1.8 zettabytes by the end of this year. The question is, how can a business rapidly analyze the growing mounds of information—and do it in an efficient manner?
One solution is an analytic platform, uniquely designed to deliver "big-data analytics” by combining data and analytic processing in a single system. As Mayank Bawa, co-founder of Aster Data, explains in "New Class of Analytics,” a platform with an embedded analytics processing engine, built on MapReduce, can identify trends and garner insights from massive amounts of data. It can even analyze new types of data from non-traditional sources, such as mobile devices and texts, which pose challenges for traditional analytical tools and architectures.
Bawa further points out that the Teradata Aster MapReduce Platform has a unique set of capabilities to analyze multi-structured data. The information gleaned from the analysis can be integrated in a data warehouse to be shared with other users giving organizations the information—and advantage—they need to stay competitive.