Databricks Essentials for Spark Developers (Azure and AWS)
- 4.3
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Brief Introduction
Learn about Databricks FeaturesDescription
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
Requirements
- Requirements
- Laptop with decent configuration
- Knowledge of Apache Spark is highly desired
Durga Viswanatha Raju Gadiraju
4.3 Raiting
Databricks Essentials for Spark Developers (Azure and AWS)
- 4.3
-
![]()
![]()
![]()
![]()
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Learn about Databricks Features 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....
