Optimizing Your Apache Iceberg Lakehouse
Slow lakehouse queries often come down to table design and maintenance. While we focus on Apache Iceberg, the techniques apply broadly to Delta Lake and Apache Hive as well. "Optimizing Your Apache Iceberg Lakehouse" keeps the conversation practical as Lester Martin works through Iceberg tactics for stats, compaction, partitioning, and pruning.
Session details
Join Lester, author for the upcoming O'Reilly book Optimizing Your Apache Iceberg Lakehouse, for a practical, fast-paced session on improving query performance across your data lakehouse. While we focus on Apache Iceberg, the techniques apply broadly to Delta Lake and Apache Hive as well. We’ll start with optimizations you can apply today as a table consumer: maintaining statistics, using effective filtering and projection, and leveraging caching to reduce latency. Then we will go under the hood to show how your lakehouse tables should be structured and maintained to improve performance at scale, covering join optimization and file size considerations, as well as compaction, partitioning, bucketing, and file-level sorting. You’ll learn how to: - Reduce the amount of scanned data and speed up queries with statistics, filtering, and projection pruning. - Design tables for scale with partition strategies based on best practices. - Maintain tables with compaction, metadata rewriting, and expiration. You will leave with practical guidance you can apply immediately—no replatforming required.
Primary action
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Agenda facts
- Format
- Talk / Presentation
- Kind
- Conference Session
- Topic
- Software Engineering and Architecture
- Level
- Beginner
- Time
- Oct 30, 2026, 1:15 PM
- Room
- Room A
- Duration
- 60 min
Speakers
Link partners to speaker kits when available, or to the public speaker profile on mitechcon.net.
Lester Martin
Copy to paste
LinkedIn, short social, and newsletter or email copy variants for this session.
LinkedIn
Session LinkedIn Post
Slow lakehouse queries often come down to table design and maintenance. While we focus on Apache Iceberg, the techniques apply broadly to Delta Lake and Apache Hive as well. "Optimizing Your Apache Iceberg Lakehouse" keeps the conversation practical as Lester Martin works through Iceberg tactics for stats, compaction, partitioning, and pruning. 📅 October 28–30, 2026 📍 Oakland University, Rochester, MI 🔗 https://www.mitechcon.net/sessions/optimizing-your-apache-iceberg-lakehouse/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-optimizing-your-apache-iceberg-lakehouse #MITechCon #ApacheIceberg #DataLakehouse #DataEngineering
Short social
Short Session Post
Slow lakehouse queries often come down to table design and maintenance. Learn Iceberg tactics for stats, compaction, partitioning, and pruning. https://www.mitechcon.net/sessions/optimizing-your-apache-iceberg-lakehouse/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-optimizing-your-apache-iceberg-lakehouse #MITechCon #ApacheIceberg
Newsletter / email
Newsletter Or Email Blurb
Feature this MITechCon 2026 session in your newsletter or email: "Optimizing Your Apache Iceberg Lakehouse". Slow lakehouse queries often come down to table design and maintenance. While we focus on Apache Iceberg, the techniques apply broadly to Delta Lake and Apache Hive as well. "Optimizing Your Apache Iceberg Lakehouse" keeps the conversation practical as Lester Martin works through Iceberg tactics for stats, compaction, partitioning, and pruning. Format: Conference Session. Topic: Software Engineering and Architecture. Level: Beginner. Scheduled for Oct 30, 2026, 1:15 PM in Room A. Learn more and share the session: https://www.mitechcon.net/sessions/optimizing-your-apache-iceberg-lakehouse/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-optimizing-your-apache-iceberg-lakehouse