Databricks Essentials for Spark Developers (Azure and AWS)

Learn about Databricks Features

Databricks Essentials for Spark Developers (Azure and AWS)
Databricks Essentials for Spark Developers (Azure and AWS)

Databricks Essentials for Spark Developers (Azure and AWS) udemy course

Learn about Databricks Features

What you'll learn:

  • Data Engineering leveraging Databricks features
  • Databricks CLI to manage files, Data Engineering jobs and clusters for Data Engineering Pipelines
  • Deploying Data Engineering applications developed using PySpark on job clusters
  • Deploying Data Engineering applications developed using PySpark using Notebooks on job clusters
  • Perform CRUD Operations leveraging Delta Lake using Spark SQL for Data Engineering Applications or Pipelines
  • Perform CRUD Operations leveraging Delta Lake using Pyspark for Data Engineering Applications or Pipelines
  • Setting up development environment to develop Data Engineering applications using Databricks
  • Building Data Engineering Pipelines using Spark Structured Streaming on Databricks Clusters
  • Incremental File Processing using Spark Structured Streaming leveraging Databricks Auto Loader cloudFiles
  • Overview of Auto Loader cloudFiles File Discovery Modes – Directory Listing and File Notifications
  • Differences between Auto Loader cloudFiles File Discovery Modes – Directory Listing and File Notifications
  • Differences between traditional Spark Structured Streaming and leveraging Databricks Auto Loader cloudFiles for incremental file processing.

Requirements:

  • Programming experience using Python
  • Data Engineering experience using Spark
  • Ability to write and interpret SQL Queries
  • This course is ideal for experienced data engineers to add Databricks as one of the key skill as part of the profile

Description:

Are you an experienced Spark Developer and want to understand about Databricks platform?

Conventionally we used to work on Data Engineering with clusters built using distributions. However, with cloud if we can separate storage from compute and leverage pay as you go model, the costs of infrastructure for Big Data Clusters can go down significantly.

Databricks is one such Cloud Choice!!!

As part of this course, you will be learning the essentials of Databricks Essentials.

  • Understand different editions such as Community, Databricks (AWS) and Azure Databricks

  • Signing up for community edition

  • Uploading data to DBFS

  • Developing using Databricks Notebook with Scala, Python as well as Spark SQL

  • Development Life Cycle using Scala with IntelliJ as IDE

  • Configuring jobs using Jar files

  • and many more

Who this course is for:

Course Details:

  • 4 hours on-demand video
  • 1 practice test
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Databricks Essentials for Spark Developers (Azure and AWS) udemy free download

Learn about Databricks Features

Demo Link: https://www.udemy.com/course/databricks-essentials-for-spark-developers-azure-and-aws/