Mastering Azure Databricks for Data Engineers
Learn Azure Databricks for professional data engineers using PySpark and Spark SQL
Created by ScholarNest
Explore Azure Databricks and gain hands-on experience building and managing scalable data solutions. You will learn how to set up workspaces, process data with PySpark and Spark SQL, and automate workflows for real-world data engineering tasks.
Packt | Jun 2024 | 1051 min
What You Will Learn
You will build skills through a mix of guided walkthroughs, practical exercises, and real-world projects. Each topic is broken down into manageable steps, so you can apply concepts immediately and see how they fit into the bigger picture of data engineering on Azure Databricks.
Key Features
- Set up and manage Databricks workspaces and Spark clusters efficiently
- Process and analyze data using notebooks, PySpark, and Spark SQL
- Automate data workflows and implement secure data management practices
Target Audience
Ideal for data engineers, data scientists, and IT professionals with a basic understanding of cloud computing and Python or SQL. If you want to deepen your expertise in data processing and automation using Azure Databricks, this course will help you reach your goals.
