Apache Spark with Scala By Example
Apache Spark with Scala By Example. Advance your Spark skills and become more valuable, confident, and productive
The name of this course is Apache Spark with Scala By Example. The knowledge you will get with this indescribable online course is astonishing. Advance your Spark skills and become more valuable, confident, and productive.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Todd McGrath, one of the very best experts in this field.
Description of this course: Apache Spark with Scala By Example
Course Description Understanding how to manipulate, deploy and leverage Apache Spark is quickly becoming essential for data engineers, architects, and data scientists. So, it’s time for you to stay ahead of the crowd by learning Spark with Scala from an industry veteran and nice guy. This course is designed to give you the core principles needed to understand Apache Spark and build your confidence through hands-on experiences. In this course, you’ll be guided through a wide range of core Apache Spark concepts using Scala source code examples; all of which are designed to give you fundamental, working knowledge. Each section carefully builds upon previous sections, so your learning is reinforced along every step of the way. All of the source code is conveniently available for download, so you can run and modify for yourself. Here are just a few of concepts this course will teach you using more than 50 hands-on examples: Learn the fundamentals and run examples of Spark’s Resilient Distributed Datasets, Actions and Transformations through Scala Run Spark on your recinto cluster and also Amazon EC2 Troubleshooting tricks when deploying Scala applications to Spark clusters Explore Spark SQL with CSV, JSON and mySQL database (JDBC) data sourcesDiscover Spark Streaming through numerous examples and build a custom application which streams from SlackHands-on machine learning experiments with Spark MLlib Reinforce your understanding through multiple quizzes and lecture recap Check out the free preview videos below!As an added bonus, this course will teach you about Scala and the Scala ecosystem such as SBT and SBT plugins to make packaging and deploying to Spark easier and more efficient. As another added bonus, on top of all the extensive course content, the course offers a private message board so you can ask the instructor questions at anytime during your Spark learning journey. This course will make you more knowledgeable about Apache Spark. It offers you the chance to build your confidence, productivity and value in your Spark adventures.
Requirements of this course: Apache Spark with Scala By Example
What are the requirements? Prior programming or scripting experience in at least one programming language is preferred, but not required. If you are training for a new career or looking to advance your career You are curious how and when the Apache Spark ecosystem might be beneficial for your operations or product development efforts
What will you learn in this course: Apache Spark with Scala By Example?
What am I going to get from this course? Gain confidence and hands-on knowledge exploring, running and deploying Apache Spark Access to numerous and wide variety of Spark with Scala, Spark SQL, Spark Streaming and Spark MLLib source code examples Create hands-on Spark environments for experimenting with course examples Participate in course discussion boards with instructor and other students Know when and how Spark with Scala, Spark SQL, Spark Streaming and Spark MLLibr may be an appropriate solution
Target audience of this course: Apache Spark with Scala By Example
Who is the target audience? People looking to expand their working knowledge of Apache Spark and Scala A desire to learn more about the Spark ecosystem such as Spark SQL, Spark Streaming and Spark MLlib Software developers wanting to expand their skills and abilities for future career growth. Spark with Scala is an in-demand skill set. Anyone who suspects an on-demand Spark course with access to both source code and questions/ answers with the instructor is probably more efficient than buying a Spark book or reading blog posts