Apache Spark with Scala useful for Databricks Certification

Apache Spark with Scala useful for Databricks Certification(Unofficial)

Apache Spark with Scala its a Crash Course for Databricks Certification Enthusiast (Unofficial) for beginners

“Big data analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, eBay, NASA, Yahoo, and many more. All are using Spark to quickly extract meaning from massive data sets across a fault–tolerant Hadoop cluster. You’ll learn those same techniques, using your own Operating system right at home.

So, What are we going to cover in this course then?

Learn and master the art of framing data analysis problems as Spark problems through over 30+ hands–on examples, and then execute them up to run on Databricks cloud computing services (Free Service) in this course. Well, the course is covering topics which are included for certification: 

1) Spark Architecture Components

Driver,

Core/Slots/Threads,

Executor

Partitions

2) Spark Execution

Jobs

Tasks

Stages

3) Spark Concepts

Caching,

DataFrame Transformations vs. Actions, Shuffling

Partitioning, Wide vs. Narrow Transformations

4) DataFrames API

DataFrameReader

DataFrameWriter

DataFrame [Dataset]

5) Row & Column (DataFrame)

6) Spark SQL Functions

In order to get started with the course And to do that you’re going to have to set up your environment.