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The architecture of Teradata

In this time of Big Data, companies are making use of data-driven methods to enhance the performance of their businesses. Data from these companies is complicated, huge, and evolving. This is why it requires a powerful system to manage it. Teradata is an open and flexible database management system, which allows businesses to improve their outcomes using tools for managing data.

This system is employed in various industries such as manufacturing medical care, manufacturing, and transport to optimize the efficiency of their processes. This article walks you through this system and provides an overview of various aspects such as the importance, features, and architecture of Teradata. It will also explain how Teradata operates and outlines the real-world applications of Teradata.


Teradata is an open RDBMS (relational database management system) that runs on operating systems like Windows, Unix, and Linux. Teradata supports huge application for data warehouses. Teradata database provides a range of options to deploy. It can accommodate clients running on different devices (concurrently). The software Teradata is built on a multi-core design.

It supports strategic intelligence that provides queries, intelligence tools and other utilities to support strategic decision making. For example, users can make use of Teradata to create complex reports like business trends. These reports are able to be used to make helpful forecasts for the future that enhance decision making within an organization. Teradata offers operational intelligence tools that improve front-line or operational decision-making.

Why you should make use of Teradata

It is capable of supporting a huge amount in data (more than 50 petabytes).
It can be integrated with different Business Intelligence (BI) software.
It is comprised of a variety of deployment options that can be utilized to obtain the exact same data.
Users can perform complex analytics due to its support for OLAP (online analysis processing).
The program is comprised of a variety of queries that allow for flexibility to users.
Teradata offers a variety of solutions (full) related to data warehouse.

Teradata’s features Teradata

Teradata database is equipped with the following features:

Structured Query Language (SQL): Teradata provides an extension for SQL which communicates with data.
Scalability of linear scale This is the reason why the Teradata system is scalable up linearly , allowing for an increase in the quantity of the nodes. The increased number of nodes boosts the overall performance of the system.
Unlimited parallelism: This feature permits massive tasks to be split into small tasks. It is possible to run these tasks in a parallel fashion.
Automatic distribution: The disks distribution of data does need manual manipulation (it is automated).
Mature optimizer: Teradata has an advanced optimizer that can support many joins in one query.
TCO = Total Cost Of Ownership (TCO) The system has an affordable TCO. This is due in part to the simple administration, setup, and maintenance.
Robust Utilities: It consists of powerful utilities like Multiload, FastExport, TPT and FastLoad. These tools allow users to either export or import information (from and to Teradata database).
Connectivity: Teradata systems allow connectivity to other systems, such as mainframes and network-attached systems.
Unload and load utilities: It includes load utilities which can be used to load files into Teradata system. Additionally, it includes unload utilities that carry data out of the system.
Shared no-thing architecture The shared-nothing database is the shared-nothing model, that has disks, Teradata nodes, as well as AMPs (Access Module Processors) are all independent. This prevents the sharing of resources, which optimizes performance in a given task.

The structure of Teradata

The design of Teradata client tool is built on the concept of MPP (massively simultaneous processing). It can be divided into two primary parts: storage architecture and retrieval architecture. The entire architecture is comprised of four components: passing engine, AMPs, BYNET and disks. The two primary components make up an architecture for storage and the remaining two are what is known as the retrieval structure.

Storage architecture

This architecture is used for when a user makes an inquiry into storage.

Parsing engine

The following are the specific functions of a parsing engine within the storage architecture:

It processes all queries (SQL) that are submitted by customers.
It checks the queries to determine whether there are syntax mistakes.
It checks the availability of objects that are used in SQL.
It creates the execution plans to execute these requests. It then forwards them to BYNET.
It gathers the results from the SQL search from AMPs and passes these results to clients.

Access Module Processor (AMP)

It’s a virtual processor that is connected to BYNET. Every AMP is comprised of a particular disk that allows it to both write and read.

An AMP does the following:

It operates on a particular section of a table.
It is able to check the information stored on disks.
It is responsible for the generation of the final output. This includes joining, aggregation and sorting.
It handles lock and space management.

Retrieval architecture


This component links the parsing engine with the Access Module Processor. It is a message-passing layer. ByNETs come in two primary types: BYNET 0 and BYNET 1. In the event that one BYNETS does not perform as expected, the second one is able to take over. Both of them can be utilized in cases where the amount of data utilized is massive.


It’s a place to store data for AMPs. They are termed as Vdisks or virtual disks.

How Teradata functions

Teradata operates through the four components described in the previous paragraphs. The operation of the system depends on the type of query made by the user. If the client wants to insert records, the storage architecture is utilized. In this instance, the parsing engine will receive queries from storage (insert records) for processing.

The parsing engine comprises four elements that operate together to solve the query: the parser, session handler optimizer and the dispatcher.

The process that is a part of the parsing engine may be described in the following manner:

Parser: This analyzes the syntax and forwards the query to the next component (system handler).
The system handler evaluates whether the user has the right logging credentials to execute the query.
Optimizer: This determines the most efficient plan for the execution of the SQL query.
Dispatcher: This relays an Access Module query. Processor.

The table rows are distributed on all the available AMPs. The AMPs will lock the table, and then execute the program created by the parsing engine. When the execution is done after which the AMPs will finish the operation and store the results on their specific disks.

If the client wants to retrieve data, the retrieval framework is used. The query is transmitted to the parsing engine. The parsing engine creates a request and sends that request to BYNET. BYNET will forward the request to AMPs. The AMPs will run a parallel search and locate the desired records. They will then be sent to the parsing machine via BYNET. The parsing engine will forward the data directly to clients.

Applications of Teradata

Here are a few of the industries where Teradata is employed.


Teradata helps financial firms improve their customer experience through the use of data to make decisions and provide personalized services. It also lets companies prepare quality financial reports.


Teradata helps with manufacturing analytics that help in generating resourceful insights to help grow and innovate. The insights derived from various data sources can help manufacturers reduce costs, increase the efficiency of their supply chains, and enhance processes.

Health care

This platform provides healthcare analytics solutions to a variety of healthcare providers. The solutions enable to gather accurate information from patients, which increases the quality of healthcare services. Teradata lets health care providers integrate data from various sources to produce meaningful information to solve various health issues.


Retail is experiencing significant changes due to the increase in competition, changing patterns of demand as well as the pressure to boost profit margins. Teradata offers retailers with retail analytics that enable them to enhance demand forecasting as well as the customer service. This software allows companies to employ a data-driven strategy to solve various business issues.


Numerous transport providers use Teradata to organize and store data related to their customers logistical operations, business operations along with business strategy. Teradata allows these operators to use a data-driven approach to optimize team planning, marketing and distribution.


Teradata is a real-world database system that allows businesses to make use of data for improving their processes and outcomes. A lot of organizations opt for this type of system because it’s scalable and can support huge volumes of data. The system consists of exciting features that are beneficial due to the low cost of ownership, high performance, as well as parallel processing.

Teradata is used in many industries such as healthcare, finance, manufacturing as well as retail and transportation. Digital transformation is changing the way information is handled. In the near future, Teradata will consist of various tools that will be used in a wide variety of industries.