Lesson 1
Course Introduction
In this lesson, you'll learn about the course, including the prerequisites, tools, environment, and course project.
Data lakes and Lakehouses with Spark and Azure Databricks
Course
Learn about the big data ecosystem and how to use Spark to work with massive datasets. Learners will also store big data in a data lake and develop Lakehouse architecture on the Azure Databricks platform.
Learn about the big data ecosystem and how to use Spark to work with massive datasets. Learners will also store big data in a data lake and develop Lakehouse architecture on the Azure Databricks platform.
4 weeks
Real-world Projects
Completion Certificate
Last Updated September 13, 2023
No experience required
Course Lessons
Lesson 2
Big Data Ecosystem, Data Lakes, and Spark
In this lesson, you will learn about the problems that Apache Spark is designed to solve. You'll also learn about the greater Big Data ecosystem and how Spark fits into it.
Lesson 3
Data Wrangling with Spark
In this lesson, we'll dive into how to use Spark for cleaning and aggregating data.
Lesson 4
Spark Debugging and Optimization
In this lesson, you will learn best practices for debugging and optimizing your Spark applications.
Lesson 5
Azure Databricks
In this lesson, you'll create Spark Clusters and Spark code on the Azure Databricks platform.
Lesson 6
Data Lakes and Lakehouse with Azure Databricks
In this lesson, you'll create data lakes and Lakehouse architecture on the Azure Databricks platform
Lesson 7 • Project
Building an Azure Data Lake for Bike Share Data Analytics
In this project, you'll implement Lakehouse architecture on the Azure Databricks platform.
Taught By The Best
Matt Swaffer
General Manager, MBS
Matt has been working in software development and data science for over 20 years. Matt's career is centered on the intersection of technology, data, and human psychology. He is passionate about using data science to have a meaningful impact on our people and our planet.
Taught By The Best
Matt Swaffer
General Manager, MBS
Matt has been working in software development and data science for over 20 years. Matt's career is centered on the intersection of technology, data, and human psychology. He is passionate about using data science to have a meaningful impact on our people and our planet.
Get Started Today
Data lakes and Lakehouses with Spark and Azure Databricks