Apache Spark 2.4 for Big Data Applications

Apache Spark 2.4 for Big Data Applications Udemy Free download. Learn Apache Spark’s key concepts using real-world examples.

This course is written by Udemy’s very popular author Isak Diaz. It was last updated on August 08, 2019. The language of this course is English but also have Subtitles (captions) in English (US) languages for better understanding. This course is posted under the categories of IT & Software, Other and Apache Spark on Udemy.

There are more than 3623 people who has already enrolled in the Apache Spark 2.4 for Big Data Applications which makes it one of the very popular courses on Udemy. You can free download the course from the download links below. It has a rating of 4.2 given by 392 people thus also makes it one of the best rated course in Udemy.

The Udemy Apache Spark 2.4 for Big Data Applications free download also includes 7 hours on-demand video, 8 articles, 61 downloadable resources, Full lifetime access, Access on mobile and TV, Assignments, Certificate of Completion and much more.

What am I going to learn?

If you are wondering what you are going to learn or what are the things this course will teach you before free downloading Apache Spark 2.4 for Big Data Applications, then here are some of things:

• How to create RDD’s, Dataframes and Datasets
• How to properly use Map, Reduce & Filter
• How to Partition RDD’s in Distributed Systems
• Caching Datasets in Memory to Reduce computations
• How to tune Spark Programs
• How to run Iterative Algorithms on a cluster
• Difference between GroupByKey and ReduceByKey

What do I need?

These are the very few things you need first before you can free download Apache Spark 2.4 for Big Data Applications:

• Familiar with Ubuntu
• Familiar with Scala

Is this course right for me?

If you are still confused whether you should free download Apache Spark 2.4 for Big Data Applications or is it the course you are actually looking for, then you should know that this course is best for:

• Beginner scala developers curious about data science

Course Description

Learn Apache Spark’s key concepts using real-world examples. This course goes over everything you need to know to get started using Spark. We start with resilient distributed data-sets and the main transformations and actions that can be performed on them. Then we move on to Advanced Spark concepts such as Partitioning and Persistence. Finally the course ends with Spark’s SQL API which includes two data abstractions called Dataframes and Datasets which sit on top of Spark RDD’s. They allow for new levels of optimization and SQL querying capabilities.

Free Download Apache Spark 2.4 for Big Data Applications