Enroll Now | Limited Free Coupons




Learn how to process big-data using Databricks & Apache Spark 2.4 and 3.0.0 - DataFrame API and Spark SQL

Best Udemy Free Courses 2020,IT & Software,Udemy Coupon 100% Off 2020 | Latest June Updated

Databricks Fundamentals & Apache Spark Core

 

1+

 

What you’ll learn

  • Databricks
  • Apache Spark Architecture
  • Apache Spark DataFrame API
  • Apache Spark SQL
  • Selecting, and manipulating columns of a DataFrame
  • Filtering, dropping, sorting rows of a DataFrame
  • Joining, reading, writing and partitioning DataFrames
  • Aggregating DataFrames rows
  • Working with User Defined Functions
  • Use the DataFrameWriter API

 

Now get Udemy Coupon 100% Off, all expire in few hours Hurry. you should always try to take Online Classes or Online Courses rather than Udemy Databricks Fundamentals & Apache Spark Core Download, as we update lots of resources every now and then.

It would be wonderful if you could leave review for this courses and help us improve this course further. feel free to ask as many questions you have, Thank You. if Udemy Free Coupon of this course Sold out then, get 95% Off Udemy Discount Coupon & Udemy Promo Code 2020

 

 

Requirements

  • Basic Scala knowledge
  • Basic SQL knowledge
 
Description
 

Welcome to this course on Databricks and Apache Spark 2.4 and 3.0.0

Apache Spark is a Big Data Processing Framework that runs at scale.
In this course, we will learn how to write Spark Applications using Scala and SQL.

 

Databricks is a company founded by the creator of Apache Spark.
Databricks offers a managed and optimized version of Apache Spark that runs in the cloud.

 

The main focus of this course is to teach you how to use the DataFrame API & SQL to accomplish tasks such as:

 

  • Write and run Apache Spark code using Databricks
  • Read and Write Data from the Databricks File System – DBFS
  • Explain how Apache Spark runs on a cluster with multiple Nodes

 

Use the DataFrame API and SQL to perform data manipulation tasks such as

 

  • Selecting, renaming and manipulating columns
  • Filtering, dropping and aggregating rows
  • Joining DataFrames
  • Create UDFs and use them with DataFrame API or Spark SQL
  • Writing DataFrames to external storage systems

 

List and explain the element of Apache Spark execution hierarchy such as

 

  • Jobs
  • Stages
  • Tasks

 

Who this course is for:
  • Software developers curious about big-data, data engeneering and data science
  • Beginner data engineer who want to learn how to do work with databricks
  • Beginner data scientist who want to learn how to do work with databricks

 

Learn how to process big-data using Databricks & Apache Spark 2.4 and 3.0.0 - DataFrame API and Spark SQL

Databricks Fundamentals & Apache Spark Core


Subscribe Now latest free coupons on Telegram

, ,


Subscribe
Notify of
guest
0 Comments
Inline Feedbacks
View all comments