Looking For An Unfair Advantage? It’s A (Teradata) SNAP!

Featuring the SNAP (Seamless Network Analytic Processing) Framework, new graph engine and storage system, Teradata Aster Discovery Platform 6 enables users to snap together multiple analytic engines and file stores based on the specific needs of the organization, making it faster and easier for a wider group of users to generate business insights, stated the analytics vendor. It said SNAP allows users to select from a portfolio of analytic engines and submit a single data discovery SQL query which simultaneously integrates the engines and data stores, and then executes and optimizes the query cross-analytic engines and data stores.

The three new capabilities address customer requirements, said Manan Goel, Sr. Director Product Marketing. “Customers are telling us they want to blend these multiple datasets together and get meaningful insights.”

Teradata’s response is the new version, which it said will provide users an unfair competitive advantage. “We believe that this is really a monumental release from Aster.”

The Teradata SQL-GR graph engine is in addition to the current SQL MapReduce and SQL engines. These engines are able to rapidly ingest and analyze large amounts of raw multi-structured data from the database and the new storage system — Teradata Aster File Store — built especially for data discovery.

The new release is an update to Aster Discovery Platform 5.10, which was rolled out in April. One of the core value propositions, which is extended in V6, has been the ability to manage analysis of many different kinds of data from logs to customer database with many kinds of analysis/access from SQL to MapReduce, time series, geo spatial, etc.

Goel said 5.10 was about laying out the end to end discovery capability, managing the three steps around analysis (store, manage and analyze data). “This announcement is about adding more and more analytics firepower to our platform. It’s completely revolutionary, much more richer and powerful.”

Back in February Tasso Argyros, co-president of Teradata Aster, told IT Trends & Analysis Big Data is all about the need for more analytics, and that’s just another opportunity for the company. It’s a pretty big opportunity: Big Data and the logical data warehouse will generate $232 billion in IT spending through 2016, said Gartner. “That’s why Teradata bought Aster Data in 2011, where I was the founder.”

However, while the amount of data continues to grow, resources are falling behind. While BI and analytics continue to be a top CIO investment priority, only 30% of potential users adopt CIO-sponsored analytics tools, reported Gartner.

“The challenge is that companies have far more data than people have time, and the amount of data that is generated every minute keeps increasing,” said Rita Sallam, Research VP Analyst. “In the face of accelerating business processes and a myriad of distractions, real-time operational intelligence systems are moving from ‘nice to have’ to ‘must have for survival.’ The more pervasively analytics can be deployed to business users, customers and consumers, the greater the impact will be in real time on business activities, competitiveness, innovation and productivity.”

Teradata, along with Oracle, SAP, IBM, Microsoft and SAS dominated last year’s business analytics software market, capturing 64 of its revenues. “There is growing quantifiable evidence that data-driven decision making enabled by business analytics solutions provides a competitive difference,” said Dan Vesset, Program VP, Business Analytics at IDC.

According to Teradata the new platform is the first to offer cross-analytic engine optimization and data processing innovations that make it faster and easier for a wider group of users to leverage its analytics. This will ‘liberate’ data scientists by reducing complexity, breaking down analytic silos, and magnifying analytic ability.

The company is selecting customers for beta trials to be run this quarter, said Goel, with GA scheduled for the the first quarter of 2014. He said both data-intensive industries like telecom, retail and financial services, as well industries where customer experience is really important will be interested.

“We are seeing a lot of traction in this space, a lot of use cases. Our perspective has always been it”s not about Big Data, it’s about all of your data.”

 

Author: Steve Wexler

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