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Module 1: Teradata Product Overview

After completing this module, you will be able to:

Describe the purpose of the Teradata product

Give a brief history of the product

List major architectural features of the product

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What is Teradata?

Teradata is a Relational Database Management System (RDBMS).

Designed to run the worlds largest commercial databases.

Preferred solution for enterprise data warehousing

Executes on UNIX MP-RAS and Windows 2000 operating systems

Compliant with ANSI industry standards

Runs on a single or multiple nodes Acts as a database server to client applications throughout the enterprise

Uses parallelism to manage terabytes of data

Capable of supporting many concurrent users from various client platforms (over aTCP/IP or IBM channel connection).

Win XPWin 2000

UNIXClient

MainframeClient

TeradataDATABASE

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Teradata A Brief History

1979 Teradata Corp founded in Los Angeles, California

Development begins on a massively parallel computer

1982 YNET technology is patented

1984 Teradata markets the first database computer DBC/1012 First system purchased by Wells Fargo Bank of Cal. Total revenue for year - $3 million

1987 First public offering of stock

1989 Teradata and NCR partner on next generation of DBC

1991 NCR Corporation is acquired by AT&T Teradata revenues at $280 million

1992 Teradata is merged into NCR

1996 AT&T spins off NCR Corp. with Teradata product

1997 Teradata database becomes industry leader in data warehousing

2000 100+ Terabyte system in production

2002 Teradata V2R5 released 12/2002; major release including features such as PPI,

roles and profiles, multi-value compression, and more.2003 Teradata V2R5.1 released 12/2003; includes UDFs, BLOBs, CLOBs, and more.

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How Large is a Trillion?

1 Kilobyte = 10

3

= 1000 bytes1 Megabyte = 106 = 1,000,000 bytes1 Gigabyte = 109 = 1,000,000,000 bytes1 Terabyte = 1012 = 1,000,000,000,000 bytes1 Petabyte = 1015 = 1,000,000,000,000,000 bytes

1 million seconds = 11.57 days1 billion seconds = 31.6 years1 trillion seconds = 31,688 years

1 million inches = 15.7 miles1 trillion inches = 15,700,000 miles (30 roundtrips to the moon)

1 million square inches = .16 acres = .0002 square miles1 trillion square inches = 249 square miles (larger than Singapore)

$1 million = < $ .01 for every person in U.S.$1 billion = $ 3.64 for every person is U.S.

$1 trillion = $ 3,636 for every person in U.S.

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Designed for Todays Business

Teradatas Charter meets the business needs of today

and tomorrow with:

Relational databasestandard for database design

Enormous capacity billions of rows, terabytes ofdata

High performance parallel processing

Single database server for multiple clientsSingleVersion of the Truth

Network and mainframe connectivity

Industry standard access language StructuredQuery Language (SQL)

Manageable growth via modularity

Fault tolerance at all levels of hardware andsoftware

Data integrity and reliability

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Evolution of Data Processing

Type Example Number of Rows ResponseAccessed Time

OLTP Update a checking account Small Secondsto reflect a deposit

DSS How many child size blue Large Seconds or minutesjeans were sold across

all of the our Eastern storesin the month of March?

OLCP Instant credit How much Small to moderate; Minutescredit can be extended to possibly across

this person? multiple databases

OLAP Show the top ten selling Large number of Seconds or minutesitems across all stores detail rows orfor 2003. moderate number

of summary rows

TRADIT

IONAL

T

oday

The need to process DSS, OLCP, and OLAP type requests across anenterprise and its data leads to the concept of a Data Warehouse.

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What is a Data Warehouse?

A Data Warehouse is a central, enterprise-wide database that contains

information extracted from Operational Data Stores (ODS).

Based on enterprise-wide model Can begin small but may grow large rapidly Populated by extraction/loading data from operational systems Responds to end-user what if queries Can store detailed as well as summary data

OperationalData

Data Warehouse

Examples ofAccess Tools

End Users

ATM PeopleSoft Point of Service(POS)

Teradata Database

TeradataWarehouse Miner

Cognos MicroStrategies

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Data Warehouse Usage Evolution

STAGE 1REPORTING

WHAThappened?

STAGE 2ANALYZING

WHYdid it happen?

STAGE 3PREDICTING

WHYwill it happen?

PrimarilyBatch

Increase inAd Hoc

Queries

AnalyticalModeling

Grows

Batch Ad Hoc Analytics

Continuous Update &Time Sensitive Queries

Become ImportantContinuous Update

Short Queries

STAGE4OPERATIONALIZING

WHATIS Happening?

STAGE 5ACTIVE WAREHOUSING

MAKINGit happen!

Event-Based

Triggering

Event BasedTriggering

Takes Hold

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What is Active Data Warehousing?

Data Warehousing is the timely, integrated, logically consistent store of

detailed data available foranalytic business decision making.

Primarily batch feeds and updates Ad hoc queries to support strategic decisions that return in minutes and maybe

hours

Active Data Warehousing is the timely, integrated, logically consistentstore of detailed data available forstrategic, tactical driven businessdecisions.

Timely updates close to real time Short, tactical queries that return in seconds Event driven activity plus strategic queries

Business requirements for an ADW (Active Data Warehouse)?

Performance response within seconds Scalability support for large data volumes, mixed workloads, and concurrent

users Availability 7 x 24 x 365

Data Freshness Accurate, up to the minute, data

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Teradatas Competitive Advantages

Unlimited, Proven Scalability amount of data and number of users; allows

for an enterprise wide model of the data.

Unlimited Parallelism parallel access, sorts, and aggregations.

Mature Optimizer handles complex queries, up to 64 joins per query, ad-hocprocessing.

Models the Business 3NF, robust view processing, & provides star schemacapabilities.

Provides a single version of the truth.

Low TCO (Total Cost of Ownership) ease of setup, maintenance, &administration; no re-orgs, lowest disk to data ratio, and robust expansionutility (reconfig).

High Availability no single point of failure.

Parallel Load and Unload utilities robust, parallel, and scalable load and

unload utilities such as FastLoad, MultiLoad, TPump, and FastExport.

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Teradata Manageability

Things a Teradata DBAneverhas to do!

Reorganize data or index space

Pre-allocate table/index space, format partitions

Pre-prepare data for loading (convert, sort, split, etc.)

Ensure that queries run in parallel

Unload/reload data spaces due to expansion

Design, implement and support partition schemes.

Write or run programs to split the input source files into partitions forloading

A DBA knows that if the data doubles, the system canexpand easily to accommodate it.

The command and workload for creating a table that willhave 100,000 rows is the same as creating a table that will

have 1,000,000,000 rows!

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Review Questions

1. Name the two primary operating systems that the Teradata RDBMS executes on.

______________________________________________

2. Which of the following represents a trillion bytes or a TB of data? ____

a. 106b. 109

c. 1012d. 1015

3. Which feature allows Teradata to process enormous volumes of data quickly? ____

a. High availability software and hardware components

b. Parallelismc. Proven Scalabilityd. High performance servers from Intel

4. The Teradata RBDMS is primary a ____ .

a. Server

b. Client

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Module 1: Review Question Answers

1. Name the two primary operating systems that the Teradata RDBMS executes on.

UNIX MP-RASWindow s 2000

2. Which of the following represents a trillion bytes or a TB of data? ____

a. 106b. 109

c. 1012d. 1015

3. Which feature allows Teradata to process enormous volumes of data quickly? ____

a. High availability software and hardware components

b. Parallelismc. Proven Scalabilityd. High performance servers from Intel

4. The Teradata RBDMS is primary a ____ .

a. Server

b. Client