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Starts 8 July 2025 19:27

Ends 8 July 2025

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Data Lakes and ClickHouse Integration - Understanding Open Table Formats and Real-time Analytics

Join us for an insightful session on integrating data lakes with ClickHouse®, where we will unravel the complexities of Parquet and Iceberg formats. Enhance your understanding of real-time analytics by leveraging the power of Apache Spark and Kafka to tackle large-scale data processing challenges effectively. This course is ideal for those l.
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Overview

Join us for an insightful session on integrating data lakes with ClickHouse®, where we will unravel the complexities of Parquet and Iceberg formats. Enhance your understanding of real-time analytics by leveraging the power of Apache Spark and Kafka to tackle large-scale data processing challenges effectively.

This course is ideal for those looking to expand their knowledge in data integration and analytics.

Delivered via YouTube, this session falls under the categories of Artificial Intelligence Courses and Business Courses.

Syllabus

  • Introduction to Data Lakes
  • Overview of Data Lakes vs. Data Warehouses
    Benefits of Data Lakes for Large-scale Analytics
    Key Technologies Powering Data Lakes
  • ClickHouse Overview
  • Introduction to ClickHouse and its Architecture
    ClickHouse Configuration and Setup for Data Integration
    Advantages of Using ClickHouse for Real-time Analytics
  • Open Table Formats
  • Introduction to Parquet Format
    Structure and Benefits of Parquet
    Reading and Writing Parquet with ClickHouse
    Introduction to Apache Iceberg Format
    Features and Use Cases of Iceberg
    Integration of Iceberg with ClickHouse
  • Real-time Analytics with Apache Spark
  • Introduction to Apache Spark for Big Data Processing
    Setting Up Spark for Integration with ClickHouse
    Transforming Data on-the-fly using Apache Spark
  • Real-time Data Streaming with Apache Kafka
  • Understanding Apache Kafka and Its Components
    Kafka Setup and Best Practices for Data Lakes
    Streaming Data into ClickHouse via Kafka
  • Integrating Data Lakes with ClickHouse
  • Strategies for Efficient Data Loading
    Query Optimization for Mixed Workloads
    Case Studies and Examples of Data Lake Integration
  • Hands-on Labs
  • Setting Up a Data Lake with ClickHouse
    Practicing Data Format Conversion (Parquet, Iceberg)
    Implementing Real-time Data Pipelines with Kafka and Spark
  • Conclusion and Future Trends
  • Reviewing Key Learnings
    Exploring Emerging Trends in Data Lakes and Real-time Analytics
    Roadmap for Further Learning and Exploration
  • Additional Resources and Reading
  • Recommended Books and Articles
    Online Tutorials and Documentation
    Community Forums and Support Channels

Subjects

Business