Aster Data delivers 30 analytic packages and MapReduce functions

ZDnet blogds, Dana Gardner, June 21, 2010

Aster Data, which provides data management and data processing platform for big data analytic applications, today announced the delivery of over 30 ready-to-use advanced analytic packages and more than 1,000 MapReduce-ready functions to enable rapid development of rich analytic applications on big data sets.

The solution is a massively parallel database with an integrated analytics engine that leverages the MapReduce framework for large-scale data processing and couples SQL with MapReduce.

The expanded suite of pre-packaged SQL-MapReduce and MapReduce-ready functions accelerates the ability to build rich analytic applications that process terabytes to petabytes of data.

... Coupling the SQL language with MapReduce eliminates the need to learn MapReduce programming or parallel programming concepts.

New MapReduce Functions

Aster Data also announced today a significant expansion in the library of MapReduce-ready functions available in Aster Data nCluster. The Aster Data nPath function is only one example of more than 1,000 functions now delivered through over 40 packages available with the Aster Data Analytic Foundation for Aster Data nCluster 4.5 and above.

These new functions cover a wide range of advanced analytic use cases from graph analysis to statistical analysis to predictive analytics, that bring extremely high value business functions out of the box that accelerate application development. Examples include:

• Text Analysis: Allows customers to "tokenize" count and position or count the occurrences of words as well as track the positions of words/multi-word phrases.
• Cluster Analysis: Includes segmentation techniques, like k-Means, which groups data into naturally occurring clusters.