Apache Spark with Scala – Hands-On with Big Data!
Dive right in with 20+ hands-on examples of analyzing large datasets with Apache Spark, on your desktop or on Hadoop!
Created by Frank Kane
Explore practical big data analysis using Apache Spark and Scala. Work through real coding examples to understand how to process and analyze large datasets both locally and in the cloud. Build confidence with hands-on projects that mirror real-world challenges.
Packt | Sep 2016 | 535 min
What You Will Learn
You will follow along with guided coding exercises, building and running Spark applications step by step. By working through practical examples, you will gain experience with both local and cloud-based data processing. Each project builds on the last, helping you develop a strong foundation in Spark and Scala.
Key Features
- Master Spark's RDDs, DataFrames, and Datasets for efficient data analysis
- Develop and run distributed Spark jobs using Scala, IntelliJ, and SBT
- Scale your data processing skills to handle large datasets on cloud platforms
Target Audience
Ideal for software engineers with some programming experience who want to move into big data processing. If you are looking to understand distributed computing and apply Spark to real analysis problems, this course will help you build the skills needed to work with large datasets and cloud platforms.
