• Teradata Enterprise Access for Hadoop

    Advanced Tools for Easy, Secure Data Access in Hadoop

    Get continuous support for your Hadoop data ecosystem – including data access, movement, management and serviceability.

    Read Whitepaper: Putting the Data Lake to Work
  • Give analysts on-the-fly access to data in Hadoop

    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:

    • Hadoop Service: Displays summary information for all Hadoop services
    • System Health: KPI indicator of system performance and system state (Teradata EDW, Teradata Aster, and Hadoop)
    • Alert Viewer: Manage and monitor logged Teradata Hadoop Alerts
    • Node Monitor: Displays summary information about the nodes on a Teradata Aster or Teradata Hadoop system
    • Space Usage: Monitoring and managing Teradata Database disk space usage (Perm/Temp/Spool) (Teradata, Teradata Aster, and Hadoop)
    • Metrics Analysis: View several Teradata systems and metrics over a period of time for trending analysis (Teradata, Teradata Aster, and Hadoop)
    • Metrics Graph: Graphical representation of system metrics (Teradata, Teradata Aster, and Hadoop)
    • Capacity Heatmap: Interactive visualization tool for analyzing hotspots of various system metrics over user definable time periods (Teradata, Teradata Aster, and Hadoop)

    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™. This high-speed, parallel connector is available between Teradata and Hadoop, including Hortonworks, Cloudera and MapR 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:
    “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.            

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