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An Introduction
to Teradata
Last Updated : 27th April 2004
Center of Excellence
Data Warehousing Group
An Introduction To Teradata
 An RDBMS product of Teradata – a Division of NCR.
 High performance decision support system, capable of
handling complex queries.
 Capable of handling terabytes of detailed data in billions of
rows.
 Build on parallel database technology.
 Effectively analyze the complex and large amount of data
by automatically distributing data and workload.
Distinctive Features of Teradata
 Supported by sophisticated query parallelism.
 Unlimited scalability
 Seamless mainframe connectivity.
 Share-nothing parallel architecture that can be deployed on both SMP
and MPP hardware configuration.
 Mission critical availability.
 Set of high performance load/unload utilities.
 Near-Zero administration
Data Warehouse Tools Interfacing with
Teradata
Data Transformation
 Apertus - Enterprise Integrator
 Carleton – Passport
 ETI - Extract
 Prism - Warehouse Manager
 SAS - Warehouse Administrator & Base
 Synectis Solution – Catalyst
 Trillium Software - Trillium
Data Warehouse Tools Interfacing with
Teradata
Data Mining
 Angoss - KnowledgeSEEKER
 HyperParallel - Discovery Suite
 KD1 - Dynamic Suite
 Quadstone - Decisionhouse
 Sabre Technology Solutions - Datawise
 SAS - Enterprise Miner
Data Warehouse Tools Interfacing with
Teradata
Server OLAP
 MicroStrategy - MicroStrategy Agent 6.0
 Computer Associates - InfoBeacon
Data Warehouse Tools Interfacing with
Teradata
 Brio Technology - BrioQuery Enterprise Series
 Business Objects - Business Objects
 Cognos - PowerPlay/Impromptu
 Informations Builders - Focus
 Seagate Software - Seagate Holos
Teradata Implementation
 20 of the World’s Largest Retailers
 19 of the World’s Largest Banks
 10 of the World’s Largest Global
Telecommunication
 8 of the World’s Largest Airlines
 10 of the World’s Largest Insurance Companies
Teradata Implementation
 Two largest commercial data warehouse in the
world use Teradata
 SBC – Largest known data warehouse.
 298 Nodes
 150 Terabytes
 Walmart
 228 Nodes
 More than 100 Terabytes
Teradata Implementation
Retail Solutions
•Kmart
•Wal-Mart
•Sears
•JCPenney
•Migros
Financial Solutions
•Bank of America
•Lloyds Bank
•Chase Manhattan
•Barclay’s Bank
•Citicorp
Transportation
•American Airlines
•Union Pacific Railroad
•Continental Airlines
•Air France
•Burlington Northern
Telecommunications
•AT&T
•Southwestern Bell
•Belgacom
•GTE Sprint
•Bell South
Teradata Implementation
Insurance
•Anthem Blue/Cross
•The Hartford
•Zurich Kemple Life
•Merck Medco
•Mercy Health
Government Agencies
•IRS
•AAFES
•DeCA
•DOJ
•TRW Defense
•Air Force Weather
Teradata vs. the Traditional Databases
 Teradata designed to accommodate data warehouse implementation.
 Traditional database systems were designed for transaction
processing.
 Data warehousing features in the traditional databases rather patches
on the top of the core database.
 Teradata has data warehousing features embedded into the core of the
database.
 Linear scalability, unconditional parallelism, multi-faceted parallelism,
intelligent data distribution, parallel-aware optimizer makes Teradata
capable of handle large data and complex queries.
Teradata Products
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Teradata Database Version 2 Release 5.1.0
Teradata Warehouse 7.1
Teradata Database Software
Teradata SQL Assistant
Teradata Utility Pak
Teradata Manager
Teradata Load & Unload Utilities
Teradata Analyst Pak
Teradata Warehouse Miner
Teradata Metadata Services
Questions ?