Learn How to Improve Performance of Your Azure SQL Data Warehouse With Optimization Techniques

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Azure SQL Data Warehouse Performance Tuning and Optimization Course Overview


The Azure SQL Data Warehouse Performance Tuning and Optimization course provides a comprehensive understanding of how to optimize the performance of a data warehouse built on the Microsoft Azure platform. You will learn a variety of strategies to monitor and improve query performance, including analyzing gather statistics, indexing, rewriting queries, and parallelizing query processes. Through practical case studies, the instructor will guide you through the principles of Data Vault modeling and demonstrate the power of design data orchestration. Additionally, you will gain insight into how to identify and avoid common pit-falls associated with data warehouse optimization. Throughout the course, the instructor will provide tips and best practices to help you dive deep into the nuances of ETL and query optimization. The course enables you to maximize your data warehouse optimization capabilities and performance.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

Azure SQL Data Warehouse Performance Tuning and Optimization
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The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

You will learn:

Module 1: Data Gathering
  • Data Gathering & Reviewing
  • Overview: In this module you will review MPP essential concepts how to create a data warehouse and how to connect to a data warehouse
  • Database Scaling: In this module you will learn the concepts behind how database scaling works how to scale and how resource classes are affected by scaling
  • Table Design: In this module you will learn about table creation the difference between rowstore and columnstore tables table geometry how to choose a distribution column and best practices for table design.
  • Statistics: In this module you will learn how statistics objects work as well as how to create and manage statistics
  • Data Movement: In this module you will learn the concepts behind data movement how joins and aggregations work how to read MPP plans and how to tune DMS for best performance.
  • Partitioning: In this module you will learn the fundamentals of partitioning in an MPP system how to manage partitions and how to manage sizes and loading with partitions.
  • Performance: In this module you will learn how to tune for best performance using: statistics clustered columnstore indexes locking table design and avoiding resource contention
  • Interactive Troubleshooting Session
Live Online Training (Duration : 16 Hours) 1200 + If you accept merging of other students. Per Participant & excluding VAT/GST
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Winner of the Microsoft’s Asia Superstar Campaign in FY 22
Winner of the Microsoft’s Asia Superstar Campaign in FY 22
Course Prerequisites

This course is designed for experienced Database developers and Architects, as well as Data Engineers and Professionals who need an in-depth understanding of performance tuning and optimization for Azure SQL Data Warehouse. Participants should have an understanding of relational theory and fundamentals including query writing, Transact-SQL, basic indexing and normalization. Additionally, Azure knowledge and experience with Azure Synapse Analytics and Azure SQL Data Warehouse is beneficial. Prior knowledge of performance tuning and optimization in other platforms may also be helpful.

Target Audience


The target audience for Azure SQL Data Warehouse Performance Tuning and Optimization training would be professionals who manage and maintain data warehouses in Azure
This includes developer roles such as database administrators, architects, system architects, data engineers, data scientists, and business intelligence engineers
The training would benefit those who understand how data warehouses work, as well as those who are beginning to get involved in managing and optimizing data warehouse performance
The training would also be beneficial to those who have already established a basic understanding of the technology and are looking to expand their skills in performance optimization
The course would cover topics such as SQL query optimization, index design, autoscaling, cost optimization, query performance tuning, and more
Overall, the training is an ideal course to help professionals manage and optimize the performance of Azure data warehouses

Learning Objectives of Azure SQL Data Warehouse Performance Tuning and Optimization


1. Understand the fundamentals of Azure SQL Data Warehouse (SQL DW).
2. Learn about the various performance diagnosis techniques to measure and optimize the performance of SQL DW.
3. Explore techniques for gathering detailed information about the workload on SQL DW, including schema analysis and resource monitoring.
4. Be able to design and optimize effective data models for SQL DW.
5. Understand how to use the proper indexes and statistics to optimize SQL DW queries.
6. Study how to tune the cost of query operations and proactively detect potential issues.
7. Learn the proper techniques for managing query plans and troubleshooting query performance.
8. Appreciate the impact of data distribution in SQL DW and take advantage of the distribution of data over multiple nodes in Azure.
9. Recognize the techniques for achieving optimal parallelism for SQL DW queries.
10. Know the methods to achieve high availability and disaster recovery for Azure SQL DW.

FAQ's

1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
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Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.

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