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Get continuous support for your Hadoop data ecosystem – including data access, movement, management and serviceability.
Teradata Enterprise Access to Hadoop is a portfolio of tools designed to give any Teradata user easy, secure access to data stored in Hadoop.The Teradata Unified Data Architecture™ integrates data from all parts of your organization to unify all of your data, deliver deeper insights, and create actionable intelligence. The Teradata UDA brings together Teradata, Teradata Aster, and Hadoop, as well as best-of-breed tools from Teradata partners to deliver a cohesive, best-in-class enterprise architecture.
Key Features and Capabilities:Teradata QueryGrid™: changes the rules of the game by giving users seamless, self-service access to data and analytic processing across different systems from within a single Teradata Database or Aster Database query. Teradata QueryGrid™ uses analytic engines and the HDFS file system to concentrate their power on accessing and analyzing data without special tools or IT intervention. It minimizes data movement and duplication between Hadoop, the Teradata EDW and the Teradata Aster Discovery Platform by processing data where it resides.Teradata Viewpoint: is an advanced web-based systems management portal for performance and health management. It provides a consistent interface across the entire Teradata Unified Data Architecture™, with specific Hadoop “portlets.”. Examples of Viewpoint portlets include:
Teradata Studio with Smart Loader for Hadoop: Empowers users with point-and-click browsing and data movement between Teradata and Hadoop for self-service business intelligence and advanced analytics.Teradata Connector for Hadoop (TDCH): Enables applications, tools and programmers to easily access and move data within the Teradata Unified Data Architecture™. These high-speed, parallel connectors are available between Teradata, Teradata Aster, and Hadoop, including Hortonworks and Cloudera distributions.Teradata Unity Ecosystem Manager: Provides UDA level monitoring, control and alerts. It monitors the interdependencies between processes and data within a single system or monitors the integration across all components in the UDA, including Teradata, Teradata Aster, Hadoop systems and all Teradata Supporting Servers (Unity Source Link, ETL and Business Intelligence).Why Teradata?Teradata offers all business analysts enterprise-class access to all data stored in Hadoop. Users now have safe and secure self-service analytics using existing skillsets, BI tools, and applications. Leveraging the universal business language of SQL means that all users—not just programmers with specialized skills—can now unlock the value of all of your data. Only Teradata allows enterprise users to integrate data from all parts of the organization with ease, speed, and security.
What Others Say:“The Teradata distribution for Hadoop includes integration with Teradata’s management tool and SQL-H [Teradata QueryGrid™] , a federated SQL engine that lets customers query data from its data warehouse and Hadoop. It also has Aster for analytics against Hadoop.”Forrester Wave™: Big Data Hadoop Solutions, Q1 2014“Importantly, the Logical Data Warehouse (LDW) promotes the concept of "best-fit engineering," in which each part of the overall analytics data management infrastructure uses the most appropriate solution based upon the expected service delivery requirements. Organizations report that these hybrid approaches are already reducing costs and time to delivery when change or additions in the warehouse are required,” Gartner analysts, Mark A. Beyer, Roxane Edjlali, “The Future of Data Management for Analytics Is the Logical Data Warehouse”, Feb 28, 2013.
Innovating with Unified Data Architecture™ to Transform the Marketplace for a Better Customer Experience
A Guide to Best Practices.
Dr. Robin Bloor explains where Hadoop fits into the information ecosystem.
The Wave publications are granular in their comparative analyses of products and services, and the February 2014 Hadoop report is a much needed road map through a crowded and sometimes confusing marketplace of Hadoop implementations.
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