Apache Spark with Scala - Learn Spark from a Big Data Guru
Learn Apache Spark and Scala by 12+ hands-on examples of analyzing big data
Created by James Lee
Explore how to harness Apache Spark with Scala to analyze and process big data using real-world examples. Gain practical experience by solving complex data problems and building scalable applications. Develop the skills needed to work confidently with Spark in professional environments.
Packt | Apr 2018 | 196 min
What You Will Learn
You will work through a series of hands-on projects that mirror real industry challenges, such as analyzing web logs, real estate trends, and survey data. Each project guides you through framing data problems, writing Spark code in Scala, and applying best practices for efficient big data processing.
Key Features
- Build and optimize Spark applications using Scala for real-world data analysis
- Work with RDDs, DataFrames, and Spark SQL to process large and varied datasets
- Apply advanced techniques to tune Spark jobs and improve performance
Target Audience
Designed for software engineers, data scientists, and data engineers who already have experience with programming and want to deepen their big data expertise. If your goal is to build scalable data pipelines or advance your career in big data analytics, you will benefit from these practical skills.
