As Big Data advances, COMPANIES are becoming increasingly data-driven with the goal of improving various aspects of their businesses. These companies HANDLE a growing amount of data, at a rapid pace, and therefore need an effective management tool to store, manage, analyze, process, and discover value in an organization's data. Here, Teradata comes to the rescue. 

Business can improve their performance and outcomes by utilizing Teradata, a scalable and open-source database management system used to handle large data warehousing operations. 

Teradata is an open-source RDBMS (relational database management system) that runs on different operating systems, including Windows, Unix, Mac OS, and Linux. A well-known tool Teradata enhances the performance of companies by managing large data WAREHOUSE operations and helps them achieve high-impact business goals. Hundreds of clients have chosen Teradata for Business Intelligence and Enterprise Data Warehousing. 

Parallelism (parallel execution) is at the heart of this technology. Using the parallelism concept, this tool allows the simultaneous execution of multiple data warehouse operations. As a result of its completely parallel architecture, a single task is broken into smaller chunks and processed in parallel or simultaneously to ensure that things are done as quickly as possible. Teradata serves as a single data store that can handle a large number of requests concurrently from multiple client APPLICATIONS. Teradata is developed by Teradata Corp, which is a firm headquartered in the United States.  A few of its capabilities include parallel processing, shared-nothing architecture, linear scalability, etc.

Throughout this article, you will learn about Teradata and the various important aspects of Teradata such as its features, architecture, and more.