Learn essential best practices for implementing data lakehouse architecture through a comprehensive conference talk delivered by Cloudera Product Manager Bill Zhang. Explore proven strategies and techniques for building robust data management solutions using Apache Iceberg, gaining valuable insights into successful lakehouse implementations. Discover how to effectively combine the flexibility of data lakes with the reliability and performance of data warehouses while avoiding common pitfalls and optimizing your data infrastructure.
Navigating the Lakehouse - Best Practices for Implementation with Apache Iceberg
Overview
Syllabus
Navigating the Lakehouse with Confidence: Best Practices for Implementation with Apache Iceberg
Taught by
The ASF
Related Courses
-
Getting Started with the Databricks Lakehouse Platform
-
Building a Lakehouse with Apache Hudi - Data Architecture at Kuaishou
-
Efficiently Managing and Optimizing Apache Iceberg with Apache Amoro
-
Gravitino REST Catalog Service for Apache Iceberg - Why and Beyond
-
Building an Open Data Lakehouse Using Apache Spark, Apache Iceberg and Dremio
-
Data as Code - Project Nessie and Git-like Experience for Apache Iceberg Tables
