Teradata Database Administration Course Overview

Teradata Database Administration Course Overview

The Teradata Database Administration course is tailored for individuals seeking to gain expertise in managing and optimizing Teradata databases. It provides a comprehensive understanding of the Teradata architecture, data distribution, and indexing strategies. This course focuses on fundamental concepts of parallel processing, the importance of starting small and scaling effectively, and equipping enterprises with necessary tools and knowledge.

Learners are introduced to ERwin for modeling business data, understanding the importance of sharing these models within the enterprise, and leveraging automatic SQL generation from models. The course delves into the five brilliant pieces of Teradata, including its Massively Parallel Processing (MPP) capabilities, support for tactical queries, an advanced traffic management system, the utility Viewpoint for system monitoring, and various data processing options.

Emphasis is placed on managing large queries, experimenting with data loading strategies, and understanding data compression techniques. The course also highlights the significance of separating production and test systems to ensure stability and performance.

With a mix of theoretical knowledge and practical advice, the course prepares learners to effectively manage Teradata environments, optimize query performance, and ensure data availability and integrity. By the end of the course, participants will have a solid foundation in Teradata Database Administration, enabling them to support and manage enterprise-level data warehousing systems.

Purchase This Course

Fee On Request

  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training price is on request

Filter By:

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Classroom Training price is on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Request More Information

Email:  WhatsApp:

Koenig's Unique Offerings

Course Prerequisites

The Teradata Database Administration course is designed to provide IT professionals with a thorough understanding of Teradata Database's features and functionalities. To ensure a successful learning experience, participants are recommended to have the following minimum prerequisites:


  • Basic understanding of relational database concepts, including tables, indexes, and SQL operations.
  • Familiarity with data warehousing concepts and principles.
  • Experience with database management or administration, which will help in grasping the administrative tasks specific to Teradata.
  • Knowledge of operating systems, primarily UNIX or Linux, as Teradata often operates within these environments.
  • Some exposure to ERwin or similar data modeling tools would be beneficial since data modeling is discussed in the course.

These prerequisites are intended to equip learners with the foundational skills necessary to fully benefit from the course material. While prior knowledge of Teradata is not mandatory, familiarity with its basic concepts can be advantageous.


Target Audience for Teradata Database Administration

The Teradata Database Administration course offers in-depth knowledge on managing Teradata systems, suitable for IT professionals aiming to master database administration.


  • Database Administrators (DBAs)
  • Data Warehouse Architects
  • IT Consultants specializing in data solutions
  • Systems Engineers involved with data management and infrastructure
  • BI and Analytics Professionals
  • Technical Support Personnel working with Teradata environments
  • Data Analysts seeking to understand backend infrastructure
  • IT Professionals aiming for career advancement in data administration
  • Database Developers looking to expand skills into administration
  • IT Managers overseeing database or data warehouse operations
  • Professionals working with ERwin Data Modeling software


Learning Objectives - What you will Learn in this Teradata Database Administration?

Introduction to Learning Outcomes

Gain comprehensive insights into Teradata Database Administration with our course, designed to equip you with the skills for efficient database management, optimization, and security in a parallel processing environment.

Learning Objectives and Outcomes

  • Understand the fundamentals of parallel processing and Teradata's unique architecture, including how data is distributed and managed across AMPs for linear scalability.
  • Master the utilization of primary indexes in Teradata systems to optimize data retrieval and system performance.
  • Explore the role and structure of the Data Dictionary, learning to extract vital information about users, databases, tables, and more for effective database oversight.
  • Learn to create, manage, and secure users and databases in Teradata, including understanding the hierarchy and granting appropriate access rights.
  • Delve into the importance of roles and profiles for managing user access and security, and how to implement them in a Teradata environment.
  • Grasp the concept of access rights and their application in database security, including how to grant, revoke, and manage privileges.
  • Acquire knowledge on collecting statistics to aid the Teradata Optimizer in query planning, and understand how to maintain statistical relevance over time.
  • Understand the locking mechanisms in Teradata, including the different types of locks and levels, and how they impact concurrency and system performance.
  • Explore Teradata's protection features, such as Fallback, RAID, and Journaling, to ensure data availability and recoverability.
  • Gain a deep understanding of how Teradata tracks data objects through table IDs and how AMP worker tasks manage query execution and system resources.

Target Audience for Teradata Database Administration

The Teradata Database Administration course offers in-depth knowledge on managing Teradata systems, suitable for IT professionals aiming to master database administration.


  • Database Administrators (DBAs)
  • Data Warehouse Architects
  • IT Consultants specializing in data solutions
  • Systems Engineers involved with data management and infrastructure
  • BI and Analytics Professionals
  • Technical Support Personnel working with Teradata environments
  • Data Analysts seeking to understand backend infrastructure
  • IT Professionals aiming for career advancement in data administration
  • Database Developers looking to expand skills into administration
  • IT Managers overseeing database or data warehouse operations
  • Professionals working with ERwin Data Modeling software


Learning Objectives - What you will Learn in this Teradata Database Administration?

Introduction to Learning Outcomes

Gain comprehensive insights into Teradata Database Administration with our course, designed to equip you with the skills for efficient database management, optimization, and security in a parallel processing environment.

Learning Objectives and Outcomes

  • Understand the fundamentals of parallel processing and Teradata's unique architecture, including how data is distributed and managed across AMPs for linear scalability.
  • Master the utilization of primary indexes in Teradata systems to optimize data retrieval and system performance.
  • Explore the role and structure of the Data Dictionary, learning to extract vital information about users, databases, tables, and more for effective database oversight.
  • Learn to create, manage, and secure users and databases in Teradata, including understanding the hierarchy and granting appropriate access rights.
  • Delve into the importance of roles and profiles for managing user access and security, and how to implement them in a Teradata environment.
  • Grasp the concept of access rights and their application in database security, including how to grant, revoke, and manage privileges.
  • Acquire knowledge on collecting statistics to aid the Teradata Optimizer in query planning, and understand how to maintain statistical relevance over time.
  • Understand the locking mechanisms in Teradata, including the different types of locks and levels, and how they impact concurrency and system performance.
  • Explore Teradata's protection features, such as Fallback, RAID, and Journaling, to ensure data availability and recoverability.
  • Gain a deep understanding of how Teradata tracks data objects through table IDs and how AMP worker tasks manage query execution and system resources.