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Teradata Unified Data Architecture
Leverage All Your Data
Turning data into profit with Teradata Unified Data Architecture
Trusted service and support for Analytics, Hadoop, BI, Big Analytics, Data Management, and Systems Architecture
Give any user any analytic on any data
Leverage ALL data for new insights and business opportunities
Hadoop knowledge transfer, mentoring, consulting, and training
Vast amounts of data are created every day by machines as well as billions of people using computers, smart phones, tablets, and other personal electronics. Companies are now capturing trillions of bytes of information about their customers, suppliers, and operations. The sheer magnitude of the numbers around big data is breathtaking.
Teradata is the best choice for companies that are serious about using data to build a competitive edge. The Teradata Unified Data Architecture™, utilizing Teradata's Analytic Architecture approach, is the first to unify all forms of data into an architecture that enables business insights from across the enterprise.
Installation guidance and mentoring for Hadoop platform are provided as part of our Big Analytics and Hadoop services. This is imoportant for those who want to bring up a Hadoop system quickly to allow their technical folks to understand Hadoop capabilities through hands-on learning and mentoring.
Teradata Big Analytics Services
Teradata Platform Enablement for Hadoop Services
Teradata Data Staging for Hadoop Services
Teradata Data Integration Optimization Services
Services include assess data value and cost of capture, identify source of “exhaust” data, refine and enrich the data, and implement initial analytics in the Aster environment or best-fit tool.
Services include Hadoop system instantiation to establish the Hadoop environment, installation guidance and mentoring for the Hadoop platform are also offered, as are services to operationalize and harden the Hadoop environment
Services to load data into a landing/staging area, including setting up a data exploration and refining area; scoping the needed architecture for the required analytics; setting up the Hadoop repository and the loading of sample data sets.
Services to assess structured, multi-structured, and non-structured data; evaluate and rate data loading techniques and benefits; optimize load scripts and data load processes and make best platform recommendations
Teradata's portfolio of Big Analytics services and analytics challenges that can be solved.
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