Most organizations don't really have "Big Data" (as in 100TB+). Save for a few Facebooks, Twitters and Amazons of this world, few organizations have petabytes of actionable data to process. Most of them _do_ need to process (and store) non-trivial data volumes, but the challenges of Big Data applications are more often found in other facets of Big Data processing.Read More
Big Data is typically defined as high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.
Yet, despite clear business needs to analyze, and react to, real-time data, the "High Velocity" aspect has been mostly missing in currently available solutions. For a variety of reasons, neither the existing Data Warehouse nor Hadoop-based platforms can satisfy the need for real-time access and analysis of current, operational data.
A new generation of real-time, operational data virtualization and stream processing platforms is needed.Read More
Numatica Corporation is pleased to announce the relaunch of its corporate website, reflecting its focus on high-scalability and Big Data software. It is designed to include current research in the areas of Big Data, Fast Data, real-time analytics. The new, cleaner design aims to to make it easier to find relevant information the visitor may be looking for.