Azure SQL Data Warehouse Performance Tuning and Optimization Course Overview

Last Updated : 12 Feb 2024

Azure SQL Data Warehouse Performance Tuning and Optimization Course Overview

The Azure SQL Data Warehouse Performance Tuning and Optimization course is designed to equip learners with the knowledge and skills required to optimize and manage the performance of a data warehouse on Azure's massively parallel processing (MPP) architecture. This course is beneficial for database professionals and architects who aim to improve their Azure SQL Data Warehouse's efficiency and speed.

Module 1: Data Gathering sets the foundation by teaching techniques for data collection and analysis, which is critical in understanding current performance and identifying areas for improvement.

Module 2: Knowledge Transfer delves deeper into key concepts such as MPP essentials, database scaling, and table design, providing learners with a comprehensive understanding of the underlying mechanisms that affect performance. It also covers the significance of statistics in query optimization, the intricacies of data movement, and strategies for effective partitioning to enhance data management and access.

With Module 3: Hands-On Troubleshooting, participants engage in practical exercises, applying the theories and techniques learned to real-world scenarios. This hands-on approach ensures that learners can confidently apply optimization strategies to their Azure SQL Data Warehouse environments.

Overall, this course will help learners to not only understand the theory behind Azure SQL Data Warehouse performance tuning but also to apply practical solutions to achieve optimal performance in their data warehousing solutions.

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Target Audience for Azure SQL Data Warehouse Performance Tuning and Optimization

The Azure SQL Data Warehouse Performance Tuning and Optimization course is designed for IT professionals focused on data management and optimization.

Target audience for the course includes:

Data Engineers
Database Administrators (DBAs)
Data Architects
Business Intelligence Professionals
SQL Server Professionals
Data Analysts involved in data warehousing projects
IT Professionals with a focus on Microsoft Azure data services
Cloud Solution Architects
Technical Team Leaders overseeing database or data warehouse teams
Performance Tuning Specialists
System Administrators with responsibilities over Azure-based resources

Learning Objectives - What you will Learn in this Azure SQL Data Warehouse Performance Tuning and Optimization?

Introduction to Learning Outcomes:

This course aims to equip students with the skills to optimize and tune the performance of Azure SQL Data Warehouse. Participants will delve into data gathering, MPP architecture, table design, and troubleshooting techniques.

Learning Objectives and Outcomes:

Understand the fundamentals of data gathering and review processes for performance tuning.
Grasp the essential concepts of Massively Parallel Processing (MPP) and its impact on data warehousing.
Learn to create and connect to an Azure SQL Data Warehouse effectively.
Comprehend the principles of database scaling and how to apply them to manage resources and performance.
Gain knowledge on the optimal design of tables, including the use of rowstore vs columnstore and the selection of distribution columns.
Master the creation and management of statistics objects to improve query performance.
Understand the intricacies of data movement within the MPP architecture, including tuning Data Movement Services (DMS).
Learn the best practices for partitioning in an MPP system and managing partition sizes and data loading.
Acquire skills to fine-tune performance using a variety of techniques such as statistics, indexes, and table design.
Engage in hands-on troubleshooting to address common performance issues and learn strategies to resolve them.