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Starts 6 July 2025 14:13

Ends 6 July 2025

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Identifying Anti-Patterns in Analytical Queries

Join us for an insightful session on identifying and overcoming anti-patterns in analytical queries. This course will teach you effective techniques to optimize SQL-based queries, restructuring jobs for maximum efficiency, and removing common performance bottlenecks. Whether you're working with various data tools and platforms or looking to e.
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Overview

Join us for an insightful session on identifying and overcoming anti-patterns in analytical queries. This course will teach you effective techniques to optimize SQL-based queries, restructuring jobs for maximum efficiency, and removing common performance bottlenecks.

Whether you're working with various data tools and platforms or looking to enhance your SQL skills, this session will equip you with the knowledge to deliver results more rapidly.

Take advantage of this opportunity to streamline your analytical processes, ensuring that you can meet demands swiftly and accurately. This course is ideal for anyone in the field of data analytics, artificial intelligence courses, or those interested in conference talks focusing on cutting-edge methodologies.

Syllabus

  • Introduction to Analytical Queries
  • Overview of SQL and its role in data analysis
    Importance of query optimization
  • Understanding Anti-Patterns
  • Definition and examples of anti-patterns in analytical queries
    Common consequences of anti-patterns on performance
  • Identifying Query Anti-Patterns
  • Excessive use of SELECT *
    Overuse of JOIN operations
    Inefficient WHERE clauses
    Inappropriate use of subqueries and CTEs
  • Optimizing SQL Queries
  • Using indexes effectively
    Query restructuring strategies
    Leveraging query execution plans
  • Tools and Platforms for Query Optimization
  • Overview of popular SQL-based platforms (e.g., MySQL, PostgreSQL)
    Platform-specific optimization techniques
  • Performance Testing and Monitoring
  • Techniques for testing query performance
    Monitoring tools and interpreting performance metrics
  • Best Practices for Efficient Analytics
  • Structuring data models for efficient querying
    Implementing caching mechanisms
    Incremental and batch processing strategies
  • Case Studies and Practical Exercises
  • Real-world examples of query optimizations
    Hands-on exercises for identifying and resolving anti-patterns
  • Final Project
  • Analyzing and optimizing a complex analytical query set
  • Conclusion and Further Learning
  • Recap of key concepts
    Resources for continued learning and improvement

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