Lesson 1
Introduction to Spark and Data Lakes
In this course you'll learn how Spark evaluates code and uses distributed computing to process and transform data. You'll work in the big data ecosystem to build data lakes and data lake houses.
Spark and Data Lakes
Course
In this course, you will learn about the big data ecosystem and how to use Spark to work with massive datasets. You’ll also learn about how to store big data in a data lake and query it with Spark.
In this course, you will learn about the big data ecosystem and how to use Spark to work with massive datasets. You’ll also learn about how to store big data in a data lake and query it with Spark.
Intermediate
4 weeks
Real-world Projects
Completion Certificate
Last Updated February 26, 2024
AWS data lakes • ELT • Big data fluency • Data wrangling
Amazon web services basics • Database fundamentals • Intermediate Python
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
Spark Essentials
In this lesson, we'll dive into how to use Spark for wrangling, filtering, and transforming distributed data with PySpark and Spark SQL
Lesson 4
Using Spark in AWS
In this lesson, you will learn to use Spark and work with data lakes with Amazon Web Services using S3, AWS Glue, and AWS Glue Studio.
Lesson 5
Ingesting and Organizing Data in a Lakehouse
In this lesson you'll work with Lakehouse zones. You will build and configure these zones in AWS.
Lesson 6 • Project
Project: STEDI Human Balance Analytics
In this project, you'll work with sensor data that trains a machine learning model. You'll load S3 JSON data from a data lake into Athena tables using Spark and AWS Glue.
Taught By The Best
Sean Murdock
Professor at Brigham Young University Idaho
Sean currently teaches cybersecurity and DevOps courses at Brigham Young University Idaho. He has been a software engineer for over 16 years. Some of the most exciting projects he has worked on involved data pipelines for DNA processing and vehicle telematics.
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