Databricks Essentials for Spark Developers (Azure and AWS)

Learn about Databricks Features

What you'll 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
Develop and Deploy Notebooks using Scala, Python as well as SQL using Databricks Platform
Understand the difference between interactive and job clusters
Formal Development and Deployment Life Cycle
Run jobs by attaching application as jar along with libraries
Overview of Cluster Pools
Installing and using databricks-cli

Requirements
Laptop with decent configuration
Knowledge of Apache Spark is highly desired
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
Data Engineers who have good knowledge of Apache Spark using Scala or Python or Spark SQL
Data Scientists with working knowledge of Apache Spark
IT Aspirants who want to get started with Apache Spark on Cloud