Open Standards for Open Lakehouses - Understanding Apache Iceberg, Parquet, Arrow, and Nessie

Overview

Discover how open-source standards like Apache Iceberg and Nessie power data lakehouses, enabling flexible and cost-effective data platforms while minimizing vendor lock-in and data movement challenges.

Syllabus

• Introduction to Data Lakehouses
Overview of Data Lakehouses
Importance of Open Standards
• Apache Iceberg
Introduction to Apache Iceberg
Key Features and Benefits
Use Cases and Industry Applications
• Apache Parquet
Understanding Apache Parquet
Data Storage Format and Compression
Integration with Lakehouses
• Apache Arrow
Introduction to Apache Arrow
Benefits for Data Processing
Enhancing Data Interoperability
• Apache Nessie
Overview of Apache Nessie
Version Control for Data Lakes
Managing and Tracking Data Changes
• Integration and Interoperability
Combining Iceberg, Parquet, Arrow, and Nessie
Best Practices for Open Lakehouses
• Addressing Vendor Lock-in
Understanding Vendor Lock-In Risks
Strategies to Mitigate and Avoid Lock-In
• Scaling and Performance
Optimizing Lakehouse Performance
Scaling Open Standards in Large Environments
• Cost Considerations
Cost Efficiency in Open Lakehouses
Analyzing Cost Benefits Over Traditional Solutions
• Real-World Case Studies
Industry Examples of Open Lakehouse Implementations
Lessons Learned and Best Practices
• Future of Open Lakehouses
Emerging Trends and Technologies
The Role of Open Standards in Future Data Architectures
• Conclusion and Next Steps
Summary of Key Concepts
Additional Resources for Continuous Learning

Subjects

Business