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Spark Programming in Scala for Beginners with Apache Spark 3

Data Engineering Using Spark Structured API

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Created by ScholarNest

Get a practical introduction to Apache Spark using Scala, focusing on building real-world data engineering solutions. Explore Spark's architecture, programming model, and structured APIs, even if you have no prior experience with Spark or Hadoop.

Packt | Mar 2022 | 407 min

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Level
Beginner
Categories
Technology & Engineering, Data Engineering & Analytics, Real-Time & Stream Processing, Spark, Scala

What You Will Learn

You'll start by setting up Apache Spark and exploring its architecture step by step. Through hands-on coding sessions, you'll work with structured APIs, data frames, and datasets. Each topic is explained with practical examples, making it easier to connect theory with real-world data engineering tasks.

Key Features

  • Understand Spark architecture and its core programming concepts
  • Work with data frames, datasets, and Spark SQL for data processing
  • Develop, debug, and deploy Spark applications using Scala

Target Audience

Ideal for software engineers, data engineers, or architects looking to build data pipelines and applications with Spark. If you have a basic understanding of Scala and want to design or implement scalable data solutions, you'll find clear guidance and actionable skills to advance your expertise.

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