Databricks Essentials for Spark Developers (Azure and AWS)




Databricks Essentials for Spark Developers (Azure and AWS)

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

Learn about Databricks Features

Url: View Details

What you will learn
  • Using Community Edition of Databricks to explore the platform
  • Signing up for Full Trial using Azure Databricks
  • Signing up for Full Trial using Databricks on AWS

Rating: 4.375

Level: Intermediate Level

Duration: 4 hours

Instructor: Durga Viswanatha Raju Gadiraju


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