Analytics

Teradata Aster Analytics Going Places: On Hadoop and AWS (SCN)

Teradata today announced important new deployment options for Teradata Aster Analytics, the world’s most advanced multi-genre analytics engine: Teradata Aster Analytics on Hadoop and Teradata Aster Analytics on Amazon Web Services (AWS). Although previous versions of Aster Analytics required dedicated systems, now companies have the flexibility to accelerate valuable analytic insight from their data wherever it resides, building on their existing investments in Hadoop. This flexibility supports Teradata’s strategy for a Hybrid Cloud architecture, the next generation of agility, flexibility, and integration between systems – and a more open approach to advanced analytics. Massive volumes of data from the Internet of Things (IoT), including sensors and digital mobile devices, have resulted in custom-tailored architecture that includes Hadoop and cloud. Teradata now provides significant options for a hybrid approach.

“Many businesses are looking for a way to integrate advanced analytics into their existing infrastructure in an orchestrated, multi-tenant environment. Teradata has just made this possible with Aster Analytics on Hadoop and Aster Analytics on AWS,” said Nik Rouda, Senior Analyst, ESG Global, who covers big data analytics. “These new options allow users to provision an analytic environment and start analyzing data they already have in a data lake or in the cloud. With the AWS option, they can forego large CapEx investments and pay as they go while they experiment with advanced analytic technology. In either case, these choices allow businesses to accelerate time to value and meet the analytic demands of their respective user communities – with significant economic advantages.”

In general, open source advanced analytics packages are not designed with business analysts in mind; they require specialized skills to use, deploy and maintain. And while such tools have been adapted to work with Hadoop, they are not specifically designed to run on Hadoop and, as a result, they typically require data to be extracted into a dedicated platform. These solutions are insufficiently scalable in terms of users, data and use cases.

“A core strength of Apache Hadoop is its extensibility and ability to embrace alternative analytic and processing engines. The addition of Teradata Aster Analytics to the industry’s offerings is a genuine advancement and gives customers a powerful new choice for demanding analytic applications,” said Mike Olson, Chief Strategy Officer and co-founder of Cloudera, Inc.

“The ability to run Aster Analytics natively on Hadoop is a major industry breakthrough and can dramatically accelerate the return on any company’s Hadoop investment,” said Chris Twogood, vice president, Product and Services Marketing, Teradata. “Aster has always been about connecting analysts with big data at scale. But now for the first time, advanced analytics on Hadoop is fully democratized, so that business analysts as well as data scientists can access the data and analyze it with path, machine learning and graph algorithms. Our new Hadoop and AWS deployment options put business-ready, agile analytics into the hands of more users, at a faster pace, with minimal cost and risk,”