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Starts 7 June 2025 12:33

Ends 7 June 2025

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Gravitino - A Multi-Regional Geo-Distributed Meta Datalake

Discover how to build and manage distributed meta datalakes using Gravitino, exploring multi-regional architectures and implementation strategies for scalable data solutions.
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Overview

Discover how to build and manage distributed meta datalakes using Gravitino, exploring multi-regional architectures and implementation strategies for scalable data solutions.

Syllabus

  • Introduction to Gravitino
  • Overview of Gravitino and its capabilities
    Importance of meta datalakes in modern organizations
  • Fundamentals of Datalakes
  • Definition and characteristics of datalakes
    Key differences between data lakes and data warehouses
    Introduction to meta datalakes
  • Multi-Regional Architecture
  • Understanding geo-distribution in datalakes
    Benefits and challenges of multi-regional architectures
    Design principles for multi-regional datalakes
  • Gravitino Architecture
  • Core components of Gravitino
    How Gravitino enables geo-distribution
    Introduction to Gravitino APIs and tools
  • Setting Up a Gravitino Meta Datalake
  • Initial setup and configuration
    Connecting multiple data sources
    Integrating Gravitino with existing infrastructure
  • Data Management and Governance
  • Data cataloging and indexing in Gravitino
    Implementing data governance policies
    Metadata management and lineage tracking
  • Scalability and Performance Optimization
  • Strategies for scaling Gravitino datalakes
    Performance tuning and optimization techniques
    Handling large-scale data operations
  • Security and Compliance
  • Security best practices for distributed datalakes
    Ensuring compliance with regional and international regulations
    Access control and data encryption in Gravitino
  • Case Studies and Use Cases
  • Real-world applications of Gravitino meta datalakes
    Case studies in various industries
    Lessons learned and best practices
  • Hands-On Project
  • Designing a multi-regional Gravitino meta datalake
    Implementing data ingestion and management strategies
    Analyzing and optimizing project outcomes
  • Future Trends and Technologies
  • Emerging trends in datalake architectures
    Innovations in distributed data management
    The future of Gravitino and meta datalakes
  • Course Wrap-Up
  • Review of key concepts and takeaways
    Final Q&A session
    Additional resources for further learning

Subjects

Business