Teradata Aster Discovery Platform Liberates Data Scientists Around the World

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The leading analytic data platforms, applications and services company, today introduced the Teradata Aster Discovery Platform, which is part of a new generation of solutions empowering chief information officers to execute a cohesive big data strategy creating an unfair competitive advantage.

December 18, 2013 - (PressReleasePoint)

Teradata (NYSE: TDC), the leading analytic data platforms, applications and services company, today introduced the Teradata Aster Discovery Platform, which is part of a new generation of solutions empowering chief information officers to execute a cohesive big data strategy creating an unfair competitive advantage.

Data scientists and analysts have been plagued by a piecemeal big data strategy, rudimentary tools, lack of scalability, and the use of desperate tools, technologies, and processes. “Recent IDC research revealed that only 10 percent of organizations have the features and functionality needed to explore data and discover insights. There are clearly many opportunities for improvement,” said Dan Vesset, program vice president, Business Analytics and Big Data, IDC. “An integrated data discovery platform should be part of every organization’s portfolio. Without this capability, organizations have a real void in their business analytics strategy.”

“The innovative design of the Aster Discovery Platform will liberate data scientists around the world by reducing complexity, breaking down analytic silos, and magnifying analytic ability,” said Scott Gnau, president, Teradata Labs. “The Aster Discovery 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 Aster’s analytics. The Aster Discovery Platform will fuel innovation and profoundly impact business results.”

The innovations in the Aster Discovery Platform include Teradata Aster SQL-GR™, a graph engine, and the Teradata SNAP Framework™ (Teradata Aster Seamless Network Analytic Processing Framework™).

New Graph Analytic Engine

Users may customize their Aster analytics with Teradata Aster SQL, Teradata Aster SQL-MapReduce®, or the newly developed Teradata Aster SQL-GR™ engine. These engines empower organizations to analyze data in new and interesting ways to uncover never seen before business insights.

The Aster SQL-GR graph engine is unique because it is scalable, processes big data in parallel, and is not limited by system memory. Its analytic capability can extend to millions of nodes or processing units. The Aster SQL-GR engine enables native processing of large-scale analytic graph queries and pre-built graph functions and can be used for customer churn, product affinity, fraud detection, and recommendation engines. For example, telecommunications providers can use graph analysis to look for high-traffic connections among selected users, which provides clues to fraudulent calling activity.

Teradata SNAP Framework

The only solution of its kind, the Teradata SNAP Framework™ enables multiple analytic engines and file stores to be seamlessly “snapped” together based on the customers’ tailored discovery needs. The tightly integrated components within the Teradata SNAP Framework provide data scientists with unmatched, next-generation analytic power and speed to insight through a seamless discovery workflow, which even a business analyst, can use. Any user is able to delve deeply into data for new competitive insights by leveraging multiple analytical  capabilities – like graph, MapReduce, text, statistical, time series, and SQL-based analytics. Business analysts only need to submit a single query in SQL or through a business intelligence tool and the new query executer and optimizer seamlessly engage a combination of analytic engines on petabytes of data from new and existing files stores for high performance processing at scale.

The Aster Discovery Platform enables rapid exploration and discovery from all data with next-generation analytics, which creates new, differentiated business insights. Any SQL-savvy analyst or business user will find it easy to use, yet it is powerful enough for the most sophisticated data scientists. The Teradata SNAP Framework, which integrates analytic engines and data stores, delivers an order of magnitude improvement in ease-of-use, analytic power, and performance.

The Teradata SNAP Framework seamlessly and simultaneously integrates the engines and data stores, and then executes and optimizes the query cross-analytic engines and data stores. The innovative Teradata Aster Integrated Optimizer understands the discovery query’s request and automatically runs the query utilizing the most efficient use of resources, which drives the highest performance data processing at scale. The new Teradata Aster Integrated Executor orchestrates all types of queries by enabling communication among analytic engines.

An additional component that differentiates the Teradata SNAP Framework is the Teradata Aster Common Storage System and Services. It provides a set of common services designed to efficiently write data to the disk, and offer data replication, and snapshots. These features support a unified security model, high availability, reliability, and manageability.

Teradata Aster File Store

Teradata Aster’s storage architecture provides storage options that are built for specific storage and analytic demands of data discovery. Users can select the new Teradata Aster File Store™ for all data, in addition to the existing data stored in row or column format. The Teradata Aster File Store is designed to quickly take in and store petabytes of raw data, provide storage management, and then make it readily available for preprocessing. The Teradata Aster File Store is compatible with Apache® Hadoop™ and the Hadoop Distributed File System. This compatibility provides a high-speed connector between Hadoop and Aster offering seamless integration within the Teradata Unified Data Architecture™. The Teradata Aster File Store enables any file format in Hadoop to work natively.

Expanded Analytic Functions

Teradata has added new pre-built functions that can be accessed from a common SQL framework. Aster Discovery Platform also extends in-database analytics and discovery with the integration of Fuzzy Logix’s™ 600-plus advanced analytic algorithms. The analytic functions further empower the data scientist and analyst to rapidly dig into data with the insightful, interactive visualizations delivered through a Web browser and common business intelligence tools.

The Teradata Aster Discovery Platform runs on the Teradata Aster Big Analytics Appliance and integrates the Teradata Aster Database, SQL-MapReduce, and Apache Hadoop. The Aster Discovery Platform offers a pre-built analytics library of more than 80 SQL-MapReduce functions. It runs on proven Teradata platform hardware, SUSE® Linux operating system, and enterprise-class storage – all preinstalled into a power-efficient unit. The system can be live and up and running in just a few hours for rapid time-to-value.
Teradata Aster Discovery Platform 6 will be available in beta during fourth quarter 2013.

About Teradata

Teradata Corporation (NYSE: TDC) is the world’s leading analytic data solutions company, focused on integrated data warehousing, big data analytics, and business applications. Teradata’s innovative products and services deliver data integration and business insight to empower organizations to make the best decisions possible for competitive advantage. Visit teradata.com for more details.

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