Apache Spark with Scala By Example

Unlock the Power of Apache Spark with Scala: A Comprehensive Course

Become proficient in Apache Spark and Scala – essential skills for modern data engineers, data architects, and data scientists. This course, led by an industry veteran, provides a solid foundation in Spark concepts through practical, hands-on experience.

You'll gain fundamental knowledge and build confidence with over 50 practical examples, all using Scala source code. Each section builds upon the last, ensuring a reinforced learning experience. Downloadable code allows you to run, modify, and experiment independently.

Here's what you'll learn:

• Resilient Distributed Datasets (RDDs): Master the fundamentals and practical application of Spark's RDDs through hands-on examples in Scala.
• Transformations and Actions: Understand and implement Spark Transformations and Actions using Scala.
• Local & Cloud Deployment: Learn to run Spark on your local cluster and troubleshoot deployment on Amazon EC2.
• Spark SQL: Explore Spark SQL and query data from various sources including CSV, JSON, and MySQL databases using JDBC.
• Spark Streaming: Dive into Spark Streaming with numerous examples and build a custom application to stream data from platforms like Slack.
• Machine Learning with Spark MLlib: Conduct hands-on machine learning experiments using Spark MLlib.
• Scala & Scala Ecosystem: Get introduced to Scala and the Scala ecosystem, including SBT and SBT plugins for streamlined packaging and deployment.

Reinforce your understanding with quizzes and lecture recaps. Plus, benefit from a private message board for direct interaction with the instructor throughout your Spark learning journey.

This course will significantly enhance your Apache Spark skills, boosting your productivity and value as a data professional.

Check out the free preview videos to get started!