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Applications of the Teradata Database

Teradata is an open-source Database Management System for developing large-scale databases and warehousing software. This tool can support several data warehouse operations at once by using the concept of parallelism. Teradata is an extremely open-source processing system that works with Unix/Linux/Windows server platforms.

Teradata software is developed by Teradata Corporation, which is an American IT firm. It’s a manufacturer of analytics data platforms, applications and other related services. The firm develops a product that consolidates data from different sources and make it available for analysis.

History of Teradata

Teradata was a division that was part of NCR Corporation. It was incorporated in 1979 but parted away from NCR in October of 2007. Michael Koehler became the first CEO of Teradata.

The Milestones for Teradata Corporation:

1979 – Teradata was incorporated into Teradata in 1979.
1984 – The release of the first database computer DBC/1012
1986 – Fortune magazine declared Teradata as ‘Product of the Year’
1999 – Largest database developed in the year 1999 using Teradata using 130 Terabytes of data
2002 – Teradata V2R5 version release , with Partition Primary and compression
2006 – Launch of Teradata Master Data Management solution
2008 – Teradata 13.0 made available including Active Data Warehousing
2011 . – Purchases Teradata Aster and plunges into the Advanced Analytics Space
2012 – Teradata 14.0 introduced
2014 – Teradata 15.0 introduced
2015- Teradata Buys Apps Marketing Platform Appoxee
20162016 Terada join forces with Big data
2017- Teradata Acquires San Diego’s StackIQ

Why Teradata?

Teradata offers a full suite of services, which are focused on Data Warehousing
The system is built on open architecture. Therefore, whenever faster devices are made available to the public, they can be incorporated into the architecture already built.
Teradata is able to handle more than 50 petabytes of data.
Single operation view for a large Teradata multi-node system using Service Workstation
Compatible with all kinds of BI tool to fetch information.
It can act as an all-in-one point of control in order for the DBA to control the Database.
High-performance, diverse queries, in-database analytics and sophisticated work management
Teradata allows you to get the same data in multiple deployment options

The next step in the Teradata tutorial, we will discuss the capabilities of Teradata.

The features of Teradata SQL

Teradata offers following powerful features:

Linear Scalability: Provides linear scalability when dealing with huge amounts of data by adding nodes to increase the performance of the system.
Unlimited Parallelism: Teradata was developed on the MPP (Massively Parallel Processing Architecture). It was intended to be multi-tasking from the beginning. It can divide a large task into smaller parts and then run the tasks in parallel
Mature Optimizer: Teradata Optimizer is able to handle 64 joins an query.
Lower TCO Tera information has low costs of total ownership. It is easy to set up and maintain as well as to manage.
Load & Unload utilities: Teradata offers load and unload utilities that allow you to transfer data to and from the Teradata System.
Connectivity: This MPP device can connect to channel-attached systems like a mainframe , or network-attached systems.
SQL: Teradata supports SQL to interface with the tables containing the data. It also provides an extension.
Solid Utilities: Teradata provides robust tools to import and export data from or into Teradata systems like FastExport, FastLoad, MultiLoad and TPT.
Automatic Distribution Teradata allows the distribution of information to disks automatically with no manual intervention.

Next in the Teradata SQL tutorial, we will explore Teradata Architecture.

Teradata Architecture

Teradata architecture is a Massively Parallel Processing Architecture.

Three of the most important elements to Teradata are:

Parsing Engine
Access Module Processors (AMPs)

Teradata Storage Architecture

Parsing Engine:

The Parsing Engine parses the queries and then prepares it’s execution program. It manages sessions for users. It optimizes & sends an email to users.

In other words, when a user performs queries to insert entries, Parsing Engine sends the records to the The Message Passing layer. Message passing layer or BYNET is a software and hardware component. It is a networking component. It also retrieves the data and sends the row to the AMP target.


AMP stands for Access Module Processor. It is a database that stores data on disks. AMP conduct following activities:

Manages a specific portion of the database
Manages a part of each table
Complete all tasks involved in generating the results set, including joining, sorting, and aggregation
Perform Lock and Space management

Teradata Retrieval Architecture

When the client runs queries to search for records then the Parsing engine sends an inquiry to BYNET. Then, BYNET transmits the retrieval request to appropriate AMPs.

A AMP searches their disks parallel , and identify the necessary records, and then send the records to BYNET. BYNET transmits the data to Parsing Engine, which in turn will be transmitted back to your client.

The next step in the Teradata Database tutorial, we will be learning about Teradata SQL commands.

Different types of Teradata SQL commands

Teradata Database supports following basic Teradata SQL assistant commands:

Data Definition Language (DDL) commands
Data Control Language (DCL) commands
Data Manipulation Language (DML) commands

Applications of Teradata Database

Following are the top Teradata Applications:

Control of Customer Information: Allows to maintain the long-term relationships with customers.
Master Data Management Aids to build a platform where master information can be utilized, synchronized, and stored.
Financial and Performance Management: The organization can increase the speed and accuracy of financial reporting. It reduces finance infrastructure costs and helps to proactively monitor enterprise performance.
Supply Chain Management: Improve supply chain operations , which contributes in providing better customer service, shorter cycles, and reduce inventories.
Demand Chain Management: Aids to improve customer service and sales. Additionally, it helps businesses forecast the demand for their item accurately.


Teradata meaning: Teradata is an open-source Database Management System for developing massive-scale data warehouse applications.
Teradata was an entity from NCR Corporation. It was incorporated in 1979. It was separated from NCR in the month of October 2007.
Teradata provides a complete suite of services that concentrate on Data Warehousing
Teradata has linear scalability for dealing with large amounts of data. It can be scalable by adding nodes to boost performance of the system.
Three essential components of Teradata include: 1)) Parsing Engine 2.) MPP 3.) Access Module Processors (AMPs)
Teradata provides a comprehensive range of product suite to satisfy the Data warehousing and ETL needs of any business
Teradata application is used primarily to manage Supply Chain Management, Master Data Management, Demand Chain Management and many more.