Azure SQL Data Warehouse Performance Tuning and Optimization Course
24 hours all-inclusive training program
3 specific modules include data gathering and knowledge transfer
Understand data warehouse performance metrics
Spread payments with instalment options
Blended online & classroom learning modes
4.75/54.75/5Overview
What we will guide you through
- Learn query optimization strategies and techniques
- Master indexing methods for enhanced performance
- Manage and monitor workload distribution
- Implement partitioning for large datasets
- Utilise PolyBase for data integration
- Analyse execution plans and query tuning
- Includes advanced performance tuning case studies
Upcoming sessions
Curriculum
- •Understanding the key components of a jumpstart project management plan is critical whether you're a beginner starting your first project or an ambitious professional looking to improve your skills.
- •Participants should have a strong understanding of relational theory and fundamentals, including query writing, Transact-SQL, basic indexing, and normalization.
- •Azure knowledge and experience with Azure Synapse Analytics and Azure SQL Data Warehouse are beneficial.
- •Prior knowledge of performance tuning and optimization in other platforms can be helpful.
- •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 row store and column store 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 column store indexes locking table design, and avoiding resource contention
- •Interactive Troubleshooting Session
Meet your Trainer
Our Trainer
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
On completing the course, you will master these skills
1
Understand the fundamentals of Azure SQL Data Warehouse (SQL DW)
2
Learn about the various performance diagnosis techniques to measure and optimise 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 optimise effective data models for SQL DW
5
Comprehend how to use the proper indexes and statistics to optimise SQL DW queries
Prerequisites
To enrol in the Azure SQL Data Warehouse Performance Tuning and Optimization Course, the following prerequisites are recommended
- Understanding the key components of a jumpstart project management plan is critical whether you're a beginner starting your first project or an ambitious professional looking to improve your skills
- Participants should have a strong understanding of relational theory and fundamentals, including query writing, Transact-SQL, basic indexing, and normalisation
- Azure knowledge and experience with Azure Synapse Analytics and Azure SQL Data Warehouse are beneficial
- Prior knowledge of performance tuning and optimization in other platforms can be helpful
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Frequently asked questions
Performance tuning helps optimize query execution, improve data retrieval speed, and enhance overall system performance, enabling efficient data warehousing operations.
Query parallelism allows multiple processors to work together to execute a query in parallel, significantly improving query performance for large datasets.
Yes, query rewriting involves modifying queries to achieve better execution plans, reducing data movement, and improving overall query performance.
Diagnostic techniques include analyzing query plans, examining resource utilization metrics, monitoring data distribution, and identifying query bottlenecks.
The training sessions at Learners Point are interactive, immersive, and intensive hands-on programs. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-to-one training session, or high-quality live and interactive online sessions as per convenience.
At Learners Point, if a participant doesn’t wish to proceed with the training after the registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the day of exit.
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