Curriculum

14 Chapters · 14 Lessons

  1. 1

    Book Preview

    1. Ultimate Data Engineering with Databricks Free preview
  2. 2

    Introduction

    1. (Included in full purchase)

      Introduction

  3. 3

    Chapter 1 : Fundamentals of Data Engineering

    1. (Included in full purchase)

      Fundamentals of Data Engineering

  4. 4

    Chapter 2 : Mastering Delta Tables in Databricks

    1. (Included in full purchase)

      Mastering Delta Tables in Databricks

  5. 5

    Chapter 3 : Data Ingestion and Extraction

    1. (Included in full purchase)

      Data Ingestion and Extraction

  6. 6

    Chapter 4 : Data Transformation and ETL Processes

    1. (Included in full purchase)

      Data Transformation and ETL Processes

  7. 7

    Chapter 5 : Data Quality and Validation

    1. (Included in full purchase)

      Data Quality and Validation

  8. 8

    Chapter 6 : Data Modeling and Storage

    1. (Included in full purchase)

      Data Modeling and Storage

  9. 9

    Chapter 7 : Data Orchestration and Workflow Management

    1. (Included in full purchase)

      Data Orchestration and Workflow Management

  10. 10

    Chapter 8 : Performance Tuning and Optimization

    1. (Included in full purchase)

      Performance Tuning and Optimization

  11. 11

    Chapter 9 : Scalability and Deployment Considerations

    1. (Included in full purchase)

      Scalability and Deployment Considerations

  12. 12

    Chapter 10 : Data Security and Governance

    1. (Included in full purchase)

      Data Security and Governance

  13. 13

    Last Words

    1. (Included in full purchase)

      Last Words

  14. 14

    Index

    1. (Included in full purchase)

      Index

About the course

Ultimate Data Engineering with Databricks is a comprehensive handbook meticulously designed for professionals aiming to enhance their data engineering skills through Databricks. Bridging the gap between foundational and advanced knowledge, this book employs a step-by-step approach with detailed explanations suitable for beginners and experienced practitioners alike. Focused on practical applications, the book employs real-world examples and scenarios to teach how to construct, optimize, and maintain robust data pipelines. Emphasizing immediate applicability, it equips readers to address real data challenges using Databricks effectively. The goal is not just understanding Databricks but mastering it to offer tangible solutions. Beyond technical skills, the book imparts best practices and expert tips derived from industry experience, aiding readers in avoiding common pitfalls and adopting strategies for optimal data engineering solutions. This book will help you develop the skills needed to make impactful contributions to organizations, enhancing your value as data engineering professionals in today's competitive job market.

About the Author

Mayank Malhotra's journey in the tech world began as a big data engineer, quickly evolving into a versatile data engineering His extensive experience spans various cloud platforms such as AWS, Azure, and Databricks, as well as On-Prem Infrastructure, showcasing his adaptability and depth of knowledge. A BTech graduate, Mayank’s academic foundation laid the groundwork for his successful career.