The Evolution of the Cloud Data Warehouse
Teradata's Data Warehouse
Metadata, Schema, Dictionary
Organizations typically capture all there is to know about customers and sales transactions, which are linked and also connected with product descriptions, inventories, bills of material, support records, and marketing campaigns. Subject areas are made up of relational tables with column headers and rows of data. Column headers, called metadata because they describe the context for values in that column, contain the names of fields and their data type such as date, currency, time, integers, and text. Every record stored has at least one key field that allows for random direct access. All table definitions – the metadata – together are called a schema and are stored in the data dictionary. An entire, fully-built data warehouse is 4,000 to 7,000 relational tables organized by topic areas.
The Cloud Data Warehouse and Teradata Vantage
Both Teradata and the industry at large evolved to incorporate the benefits of cloud deployment and scalability. Teradata Vantage, the company’s flagship offering, builds on the strong foundation of Teradata Database and incorporates advanced analytic capabilities acquired with Aster Data in 2011.
Vantage is available for Amazon Web Services (AWS), Microsoft Azure, Google Cloud, Teradata infrastructure (Teradata Cloud or Customer Cloud), and commodity hardware running VMware virtualization software.
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