Teradata Workload Management

About Teradata Workload Management

In this chapter, we explore the essential aspects of Teradata Workload Management, enabling you to effectively manage and optimize resources in a Teradata environment. The chapter covers key concepts, strategies, and best practices to help you gain a comprehensive understanding of workload management in Teradata.

Throughout the chapter, you will learn about:

Introduction to Teradata Workload Management: Discover the importance of workload management in a Teradata system, its objectives, and its benefits in optimizing system performance.

Workload Classification: Understand how to categorize workloads based on their characteristics, priorities, and resource requirements, ensuring efficient resource allocation and improved system performance.

Priority Scheduler and Resource Partitioning: Learn about the Priority Scheduler and its role in allocating resources to different workloads. Gain insights into resource partitioning and how it can be utilized to manage competing workloads.

Tactical Workloads and SLG Tiers: Explore best practices for managing tactical workloads and SLG tiers, including resource allocation, query demotion, and sibling sharing of unused resources.

Timeshare Workloads: Delve into the management of Timeshare workloads, including assigning resources to appropriate access levels, prioritizing high-priority non-tactical workloads, and maintaining minimal concurrency.

Query Filters and Warnings: Learn how to create filters for identifying and blocking inappropriate queries, issuing warnings, and monitoring resource consumption in the DBC.DBQLOGTBL table.

Monitoring and Optimization: Discover techniques for monitoring system performance, identifying bottlenecks, and optimizing resource allocation to improve overall workload management in a Teradata environment.

By the end of this chapter, you will have acquired the knowledge and skills necessary to effectively manage workloads in a Teradata system, ensuring optimal performance and efficient use of resources.