Learn Teradata from Scratch- A Basic to Advanced Overview

[mitsumi]

Published 11/2022
Created by Anurag Kaushik
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 22 Lectures ( 1h 19m ) | Size: 483 MB

Basic to Advanced Concepts

What you'll learn
Introduction to Teradata
An Overview of Teradata Concepts
Operators in Teradata
Advanced Concepts in TeraData
Index, Join and Sub-queries in TeraData
Various Functions and Conditions in TeraData
Requirements
Relational Concepts of Databases
Basics of SQL
Description
Learn Teradata from Scratch- A Basic to Advanced Overview is a course for intermediate learners and for freshers also. One can simply learn this course if you are having some knowledge of SQL and database concepts. Teradata is a popular Relational Database Management System (RDBMS) suitable for large data warehousing applications. Teradata achieves this by the concept of parallelism which means the use of parallel processing. It is capable of handling large volumes of data and is highly scalable. It is developed by the company called Teradata. This Course provides a good understanding of Teradata Architecture, various SQL commands, Indexing concepts and Utilities to import/export data.There are numerous reasons why clients choose Teradata over other databases.· Linear scalability helps to support more users/data/queries/query complexity without losing performance. When system configuration grows performance increases linearly.· System is built on open architecture, so whenever any faster chip and device are made available it can be incorporated into the already build architecture.· Automatic distribution of data across multiple processors (AMP) evenly. Components divide task into approximately equal pieces so all parts of the system are kept busy to accomplish the task faster.· Single point of control for the DBA to manage the database using Teradata viewpoint.· Compatible with large numbers of BI tool to fetch data.
Who this course is for
Beginners, Students, Learners, Big Data Architects etc.

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