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Master Databricks Data Engineering: ETL, Spark & Delta Lake Pro

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1:54:42

  • 1 -What is Databricks.mp4
    05:49
  • 2 -Introduction to the Databricks Lakehouse Platform.mp4
    06:04
  • 1 -Data Ingestion and ETL Concepts.mp4
    05:45
  • 2 -Understanding Delta Lake.mp4
    05:14
  • 3 -Data Sources and Formats in Databricks.mp4
    06:09
  • 4 -Managing Metadata and Catalogs.mp4
    05:33
  • 1 -Introduction to Apache Spark for Data Engineering.mp4
    05:14
  • 2 -Working with DataFrames.mp4
    05:45
  • 3 -Optimizing Data Transformations.mp4
    04:13
  • 4 -Understanding Spark SQL.mp4
    04:30
  • 1 -Introduction to Data Engineering Workflows.mp4
    03:38
  • 2 -Using Databricks Jobs for Pipeline Automation.mp4
    03:40
  • 3 -Orchestrating Workflows with Databricks Workflows.mp4
    03:37
  • 4 -Introduction to Task Dependencies and Triggers.mp4
    03:47
  • 1 -Data Governance Fundamentals.mp4
    04:57
  • 2 -Implementing Access Controls.mp4
    04:34
  • 3 -Monitoring and Auditing Data Pipelines.mp4
    04:29
  • 4 -Data Versioning and Lineage with Delta Lake.mp4
    03:48
  • 1 -Optimizing Cluster Configuration.mp4
    04:04
  • 2 -Understanding Caching and Data Skipping.mp4
    04:14
  • 3 -Troubleshooting Common Performance Issues.mp4
    04:25
  • 4 -Delta Lake Optimization Techniques.mp4
    04:11
  • 1 -Introduction to Streaming Data with Structured Streaming.mp4
    03:53
  • 2 -Handling Late Data and Watermarking.mp4
    03:28
  • 3 -Ensuring Data Quality with Expectations and Validations.mp4
    03:41
  • More details


    Course Overview

    Become a Databricks-certified data engineer by mastering ETL pipelines, Delta Lake, and Apache Spark. This comprehensive training covers workflow automation, performance optimization, and real-world data engineering solutions.

    What You'll Learn

    • Build reliable ETL pipelines with Databricks Lakehouse Platform
    • Master Delta Lake for data reliability and Spark for transformations
    • Automate workflows and implement data governance best practices

    Who This Is For

    • Data Engineers preparing for Databricks certification
    • Analysts transitioning to data engineering roles
    • Developers working with big data platforms

    Key Benefits

    • Hands-on experience with industry-standard tools
    • Learn performance optimization techniques
    • Gain skills for building production-grade pipelines

    Curriculum Highlights

    1. Databricks Lakehouse Fundamentals
    2. Spark DataFrames & Transformation
    3. Pipeline Automation & Governance
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    Category
    • language english
    • Training sessions 25
    • duration 1:54:42
    • Release Date 2025/04/15