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Databricks Fundamentals & Apache Spark Core

Learn how to process big-data using Databricks & Apache Spark 2.4 and 3.0.0 - DataFrame API and Spark SQL
Course from Udemy
 10056 students enrolled
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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

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


Databricks Fundamentals & Apache Spark Core
$ 99.99
per course
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