Advanced Sql For Data Engineering Training Course: Optimize Data Queries

Introduction

Supercharge your data engineering skills with our Advanced SQL for Data Engineering Training Course. This program is designed to equip you with the essential skills to master window functions, query optimization, and complex data transformations, enabling you to build robust and efficient data pipelines. In today's data-intensive environment, proficiency in advanced SQL is crucial for handling large-scale data processing and ensuring data integrity. Our advanced SQL training course offers hands-on experience and expert guidance, empowering you to tackle complex data engineering challenges.

This optimize data queries training delves into the core concepts of advanced SQL for data engineering, covering topics such as window functions, performance tuning, and advanced data manipulation. You'll gain expertise in using industry-standard SQL techniques to optimize data queries and handle complex data transformations, meeting the demands of modern data engineering projects. Whether you're a data engineer, database developer, or data architect, this Advanced SQL for Data Engineering course will empower you to build and maintain high-performance data systems.

Target Audience:

• Data Engineers
• Database Developers
• Data Architects
• ETL Developers
• Data Analysts
• Software Developers
• Anyone needing advanced SQL data engineering skills

Course Objectives:

• Understand the fundamentals of advanced SQL for data engineering.
• Master window functions for complex data analysis.
• Utilize query optimization techniques for performance tuning.
• Implement complex data transformations with SQL.
• Design and build efficient data pipelines using SQL.
• Optimize SQL code for scalability and maintainability.
• Troubleshoot and address common SQL performance challenges.
• Implement advanced indexing and partitioning strategies.
• Integrate SQL with real-world data engineering workflows.
• Understand how to handle large datasets and data warehousing in SQL.
• Explore advanced SQL features (e.g., recursive queries, common table expressions).
• Apply real world use cases for advanced SQL in data engineering.
• Leverage SQL's capabilities for efficient data manipulation and processing.

Duration

10 Days

Course content

Module 1: Introduction to Advanced SQL for Data Engineering

• Fundamentals of advanced SQL for data engineering.
• Overview of window functions, query optimization, and complex transformations.
• Setting up an advanced SQL development environment.
• Introduction to advanced SQL tools and best practices.
• Best practices for advanced SQL.

Module 2: Window Functions

• Mastering window functions for complex data analysis.
• Utilizing RANK, DENSE_RANK, LEAD, LAG, and PARTITION BY.
• Designing and building analytical queries with window functions.
• Optimizing window function performance.
• Best practices for window functions.

Module 3: Query Optimization Techniques

• Utilizing query optimization techniques for performance tuning.
• Implementing indexing, query profiling, and execution plan analysis.
• Designing and building efficient SQL queries.
• Optimizing queries for large datasets.
• Best practices for query optimization.

Module 4: Complex Data Transformations

• Implementing complex data transformations with SQL.
• Utilizing PIVOT, UNPIVOT, and advanced string manipulation.
• Designing and building data transformation pipelines.
• Optimizing transformations for data integrity.
• Best practices for data transformations.

Module 5: Efficient Data Pipelines with SQL

• Designing and building efficient data pipelines using SQL.
• Utilizing stored procedures and functions for data processing.
• Implementing ETL/ELT processes with SQL.
• Optimizing pipelines for data warehousing.
• Best practices for data pipelines.

Module 6: SQL Code Optimization

• Optimizing SQL code for scalability and maintainability.
• Utilizing code modularization and parameterization.
• Implementing version control and code review.
• Designing scalable SQL solutions.
• Best practices for code optimization.

Module 7: Troubleshooting SQL Performance Challenges

• Debugging common SQL performance challenges.
• Analyzing query bottlenecks and resource utilization.
• Utilizing troubleshooting techniques for problem resolution.
• Resolving common SQL performance issues.
• Best practices for troubleshooting.

Module 8: Advanced Indexing and Partitioning

• Implementing advanced indexing and partitioning strategies.
• Utilizing clustered and non-clustered indexes.
• Designing and building partitioned tables for large datasets.
• Optimizing indexing and partitioning for query performance.
• Best practices for indexing.

Module 9: Integration with Data Engineering Workflows

• Integrating SQL with real-world data engineering workflows.
• Utilizing data integration and orchestration tools.
• Implementing SQL in data warehousing and data lakes.
• Optimizing integration for data processing.
• Best practices for integration.

Module 10: Large Datasets and Data Warehousing

• Understanding how to handle large datasets and data warehousing in SQL.
• Utilizing data partitioning and parallel processing.
• Designing and building data warehousing schemas.
• Optimizing SQL for big data processing.
• Best practices for large datasets.

Module 11: Advanced SQL Features

• Exploring advanced SQL features (recursive queries, common table expressions).
• Utilizing recursive queries for hierarchical data processing.
• Implementing common table expressions (CTEs) for complex queries.
• Designing and building advanced SQL solutions.
• Optimizing advanced features for specific applications.
• Best practices for advanced features.

Module 12: Real-World Use Cases

• Implementing advanced SQL for real-time data processing.
• Utilizing SQL for data warehousing and business intelligence.
• Implementing SQL for data migration and integration.
• Utilizing SQL for data quality and validation.
• Best practices for real-world applications.

Module 13: SQL Tools and Techniques Implementation

• Utilizing advanced SQL tools and techniques.
• Implementing SQL queries with database management systems (PostgreSQL, SQL Server).
• Designing and building SQL scripts for automation.
• Optimizing tool usage for efficient data processing.
• Best practices for tool implementation.

Module 14: Query Performance Tuning

• Implementing query performance tuning.
• Utilizing query execution plans and optimization techniques.
• Designing and building optimized SQL queries.
• Optimizing query performance and resource utilization.
• Best practices for performance tuning.

Module 15: Future Trends in Advanced SQL

• Emerging trends in advanced SQL for data engineering.
• Utilizing cloud-based SQL databases for data processing.
• Implementing SQL for streaming data and real-time analytics.
• Best practices for future applications.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.