Data Engineering using Databricks on AWS and Azure

Data Engineering using Databricks on AWS and Azure Free Download. Build Data Engineering Pipelines using Databricks core features such as Spark, Delta Lake, cloudFiles, etc.

Data Engineering using Databricks on AWS and Azure Description.

Data Engineering is nothing but processing the data depending upon our downstream needs. We need to build different pipelines such as Batch Pipelines, Streaming Pipelines, etc as part of Data Engineering. All roles related to Data Processing are consolidated under Data Engineering. Conventionally, they are known as ETL Development, Data Warehouse Development, etc.

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

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.

Who this course is for:

Beginner or Intermediate Data Engineers who want to learn Databricks for Data Engineering
Intermediate Application Engineers who want to explore Data Engineering using Databricks
Data and Analytics Engineers who want to learn Data Engineering using Databricks
Testers who want to learn Databricks to test Data Engineering applications built using Databricks

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