Curriculum

13 Chapters · 13 Lessons

  1. 1

    Book Preview

    1. Ultimate Azure Data Engineering Free preview
  2. 2

    Introduction

    1. (Included in full purchase)

      Introduction

  3. 3

    Chapter 1 : Introduction to Data Engineering

    1. (Included in full purchase)

      Introduction to Data Engineering

  4. 4

    Chapter 2 : Understanding SQL and RDBMS Concepts

    1. (Included in full purchase)

      Understanding SQL and RDBMS Concepts

  5. 5

    Chapter 3 : Data Engineering: Azure Versus On-Premises

    1. (Included in full purchase)

      Data Engineering: Azure Versus On-Premises

  6. 6

    Chapter 4 : Azure Cloud Concepts

    1. (Included in full purchase)

      Azure Cloud Concepts

  7. 7

    Chapter 5 : Working with Heterogenous Data Sources

    1. (Included in full purchase)

      Working with Heterogenous Data Sources

  8. 8

    Chapter 6 : ETL Concepts

    1. (Included in full purchase)

      ETL Concepts

  9. 9

    Chapter 7 : Database Design and Modeling

    1. (Included in full purchase)

      Database Design and Modeling

  10. 10

    Chapter 8 : Performance Best Practices and Data Security

    1. (Included in full purchase)

      Performance Best Practices and Data Security

  11. 11

    Chapter 9 : Data Visualization and Application in Real World

    1. (Included in full purchase)

      Data Visualization and Application in Real World

  12. 12

    Chapter 10 : Data Engineering Certification Guide

    1. (Included in full purchase)

      Data Engineering Certification Guide

  13. 13

    INDEX

    1. (Included in full purchase)

      INDEX

About the course

Embark on a comprehensive journey into Azure data engineering with “Ultimate Azure Data Engineering”. Starting with foundational topics like SQL and relational database concepts, you'll progress to comparing data engineering practices in Azure versus on-premises environments. Next, you will dive deep into Azure cloud fundamentals, learning how to effectively manage heterogeneous data sources and implement robust Extract, Transform, Load (ETL) concepts using Azure Data Factory, mastering the orchestration of data workflows and pipeline automation. The book then moves to explore advanced database design strategies and discover best practices for optimizing data performance and ensuring stringent data security measures. You will learn to visualize data insights using Power BI and apply these skills to real-world scenarios. Whether you're aiming to excel in your current role or preparing for Azure data engineering certifications, this book equips you with practical knowledge and hands-on expertise to thrive in the dynamic field of Azure data engineering.

About the Author

Ashish Agarwal currently works as an Engineering Architect in the Azure SQL Engineering team at Microsoft, where he works with large and complex SQL modernization projects spanning from SQL On-Premises to Azure IaaS and PaaS Platforms. He holds an Honors Bachelor’s degree in Computer Science Engineering from BMIT, Jaipur, Rajasthan, India, affiliated with Rajasthan Technical University, Kota, Rajasthan, India. He earned the title of Best Outgoing Student in Computer Science Engineering for his graduating batch. He has worked at top product-based companies, FinTech organizations, as well as large MNCs across various domains.