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Starts 10 July 2025 07:16

Ends 10 July 2025

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

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Overview

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