How Modern Engines Unlock the Full Potential of Apache Superset - Interactive BI Performance and Query Optimization

Übersicht

Join us in discovering the transformative impact of modern query engines on Apache Superset's functionality. This enlightening session dives into the intricacies of optimizing business intelligence performance through accelerated ad-hoc queries and versatile open format support.

Perfect for professionals seeking to leverage cutting-edge technologies in data analytics and business intelligence, this event offers valuable insights into deploying more responsive and efficient BI solutions.

Lehrplan

• Introduction to Apache Superset
Overview of Apache Superset and its BI capabilities
Key features of Apache Superset in data exploration and visualization
• Modern Query Engines and Integration with Superset
Explanation of what query engines are and their role in data processing
Examples of modern query engines compatible with Superset (e.g., Trino, Presto, Druid)
Steps to integrate query engines with Apache Superset
• Enhancing BI Performance with Faster Ad-hoc Queries
Strategies for optimizing ad-hoc queries in Superset
Best practices for query writing and engine configuration
Case studies: Performance improvements with different query engines
• Automatic Query Acceleration Techniques
Introduction to query acceleration and its importance in BI
Leveraging built-in acceleration features of query engines
Implementing caching and indexing strategies for speed improvements
• Supporting Open Formats for Enhanced Performance
Overview of open data formats (e.g., Parquet, ORC, Avro)
Benefits of using open formats in conjunction with Superset
Configuring query engines to efficiently read and process open formats
• Hands-on Labs and Practical Exercises
Setting up a Superset environment with a modern query engine
Conducting performance benchmark tests for different scenarios
Real-world exercises in optimizing queries and reports
• Advanced Topics in Query Optimization
In-depth techniques for query tuning and optimization
Utilizing query engines’ specific features for maximized performance
Analyzing query plans and understanding execution bottlenecks
• Closing Remarks and Future Trends in BI and Analytics
Summary of key takeaways
Emerging trends in BI tools and technologies
Discussion on the future of query engines and BI performance
• Additional Resources and Continuing Learning
Recommended books, articles, and documentation
Online communities and forums for ongoing support and knowledge exchange

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Fachgebiete

Business