Teradata has this month launched its Aster Data SQL-MapReduce Developer Portal, an online collaborative developer community for SQL-MapReduce analytics, an emerging framework for processing non-relational data and ultra-fast analytics.
The new developer portal is intended to showcase Aster Data's SQL-MapReduce, which combines standard SQL with MapReduce distributed computing technology for processing big data.
A recent report from IDC Research, "Taking Care of Your Quants: Focusing Data Warehousing Resources on Quantitative Analysts Matters," has shown that by equipping data scientists with the tools to harness emerging types and sources of data, companies create a significant competitive advantage and become leaders in their respective industry.
With this announcement, Aster Data also provides a set of tools and capabilities to leverage the power of MapReduce analytics. Aster Data's patent-pending SQL-MapReduce is said to enable analytic applications and functions that can deliver faster, deeper insights on terabytes to petabytes of data. These applications are implemented using MapReduce but delivered through standard SQL and business intelligence (BI) tools.
According to the company, "SQL-MapReduce makes it possible for data scientists and developers to empower business analysts with the ability to make informed decisions, incorporating vast amounts of data, regardless of query complexity or data type. Aster Data customers are using SQL-MapReduce for rich analytics including analytic applications for social network analysis, digital marketing optimization, and on-the-fly fraud detection and prevention."
SQL-MapReduce is one of the core capabilities within Aster Data's flagship product. Aster Data nCluster 4.6, the industry's first massively parallel processing (MPP) analytics platform, has an integrated analytics engine that stores and processes both relational and non-relational data at scale.