We are in the midst of a data storm, faced with skyrocketing volumes of unstructured data.
Traditional data analysis techniques are no longer adequate, yet businesses increasingly rely on insightful analysis of huge data volumes to stay competitive. IT departments are challenged to expand data centers with budgets that are not keeping pace with data growth.
To address these challenges, many IT departments are using Apache Hadoop, an open source software library that provides a framework for distributed processing of large data sets across clusters of servers. However, the basic Hadoop architecture brings two limitations:
On Access and Technology partner have developed a platform architecture that addresses the two major limitations of the basic Hadoop architecture while improving network speed and efficiency:
Improves on the basic Apache Hadoop architecture
Increases network speed and efficiency