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Aster Data Delivers 30 Analytic Packages and MapReduce Functions

For mainstream data analytics

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. [Disclosure: Aster Data, San Carlos, Calif., is a sponsor of BriefingsDirect podcasts.]

We have found that analytics that previously took weeks to months of SQL coding can now be built in days with richer analytic power than what is possible with SQL alone.



Traditional data management platforms and analytic solutions do not scale to big data volumes and restrict business insight to views that only represent a sample of data, which can lead to undiscovered patterns, restricted analysis and missed critical events. MapReduce is emerging as a parallel data processing standard, but often requires extensive learning time and specialized programming skills.

Coupling the SQL language with MapReduce eliminates the need to learn MapReduce programming or parallel programming concepts. Other benefits of this coupling include:

  • Making MapReduce applications usable by anyone with a SQL skill-set.
  • Enabling rich analytic applications to be built in days due to the simplicity of SQL-MapReduce and Aster Data’s suite of pre-built analytic functions.
  • Delivering ultra-high performance on big data, achieved by embedding 100 percent of the analytics processing in-database, eliminating data movement.
  • Automatically parallelizing both the data and application processing with SQL-MapReduce for extremely high performance on large data sets.

New 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.
  • Utilities: Includes high value data transformation computations. For example developers can now simply unpack and pack nested data as well as anti-select, or allow the return of all columns except for those that are specified.

Aster also revealed new partners that are working closely with Aster Data’s data-analytics server, nCluster, to simplify development of highly-advanced and interactive analytic applications that process extremely large data volumes. Partners using SQL-MapReduce for rich analytics include Cobi Systems, Ermas Consulting, and Impetus Technologies.

Amiya Mansingh of Cobi Systems said, “There’s no question that Aster Data’s solution and SQL-MapReduce offers a powerful, yet easy-to-use framework to build rich, high performance applications on big data sets. We have found that analytics that previously took weeks to months of SQL coding can now be built in days with richer analytic power than what is possible with SQL alone. ”

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At Interarbor Solutions, we create the analysis and in-depth podcasts on enterprise software and cloud trends that help fuel the social media revolution. As a veteran IT analyst, Dana Gardner moderates discussions and interviews get to the meat of the hottest technology topics. We define and forecast the business productivity effects of enterprise infrastructure, SOA and cloud advances. Our social media vehicles become conversational platforms, powerfully distributed via the BriefingsDirect Network of online media partners like ZDNet and IT-Director.com. As founder and principal analyst at Interarbor Solutions, Dana Gardner created BriefingsDirect to give online readers and listeners in-depth and direct access to the brightest thought leaders on IT. Our twice-monthly BriefingsDirect Analyst Insights Edition podcasts examine the latest IT news with a panel of analysts and guests. Our sponsored discussions provide a unique, deep-dive focus on specific industry problems and the latest solutions. This podcast equivalent of an analyst briefing session -- made available as a podcast/transcript/blog to any interested viewer and search engine seeker -- breaks the mold on closed knowledge. These informational podcasts jump-start conversational evangelism, drive traffic to lead generation campaigns, and produce strong SEO returns. Interarbor Solutions provides fresh and creative thinking on IT, SOA, cloud and social media strategies based on the power of thoughtful content, made freely and easily available to proactive seekers of insights and information. As a result, marketers and branding professionals can communicate inexpensively with self-qualifiying readers/listeners in discreet market segments. BriefingsDirect podcasts hosted by Dana Gardner: Full turnkey planning, moderatiing, producing, hosting, and distribution via blogs and IT media partners of essential IT knowledge and understanding.

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