What You Need to Know Before
You Start
Starts 10 June 2025 03:16
Ends 10 June 2025
00
days
00
hours
00
minutes
00
seconds
How Modern Engines Unlock the Full Potential of Apache Superset - Interactive BI Performance and Query Optimization
Discover how modern query engines enhance Apache Superset's capabilities, focusing on fast ad-hoc queries, automatic acceleration, and open format support for improved BI performance.
OSACon
via YouTube
OSACon
2565 Courses
58 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Free Video
Optional upgrade avallable
Overview
Discover how modern query engines enhance Apache Superset's capabilities, focusing on fast ad-hoc queries, automatic acceleration, and open format support for improved BI performance.
Syllabus
- Introduction to Apache Superset
- Modern Query Engines and Integration with Superset
- Enhancing BI Performance with Faster Ad-hoc Queries
- Automatic Query Acceleration Techniques
- Supporting Open Formats for Enhanced Performance
- Hands-on Labs and Practical Exercises
- Advanced Topics in Query Optimization
- Closing Remarks and Future Trends in BI and Analytics
- Additional Resources and Continuing Learning
Overview of Apache Superset and its BI capabilities
Key features of Apache Superset in data exploration and visualization
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
Strategies for optimizing ad-hoc queries in Superset
Best practices for query writing and engine configuration
Case studies: Performance improvements with different query engines
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
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
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
In-depth techniques for query tuning and optimization
Utilizing query engines’ specific features for maximized performance
Analyzing query plans and understanding execution bottlenecks
Summary of key takeaways
Emerging trends in BI tools and technologies
Discussion on the future of query engines and BI performance
Recommended books, articles, and documentation
Online communities and forums for ongoing support and knowledge exchange
Subjects
Business