Share this link via
Or copy link
Overview
Build Data Engineering Pipelines using Databricks core features such as Spark, Delta Lake, cloudFiles, etc. What you'll learn: Data Engineering leveraging Databricks featuresDatabricks CLI to manage files, Data Engineering jobs and clusters for Data Engineering PipelinesDeploying Data Engineering applications developed using PySpark on job clustersDeploying Data Engineering applications developed using PySpark using Notebooks on job clustersPerform CRUD Operations leveraging Delta Lake using Spark SQL for Data Engineering Applications or PipelinesPerform CRUD Operations leveraging Delta Lake using Pyspark for Data...
Syllabus
- Introduction to Data Engineering using Databricks
- Getting Started with Databricks on Azure
- Azure Essentials for Databricks - Azure CLI
- Mount ADLS on to Azure Databricks to access files from Azure Blob Storage
- Getting Started with Databricks on AWS
- AWS Essentials for Databricks - Setup Local Development Environment on Windows
- AWS Essentials for Databricks - Setup Local Development Environment on Mac
- AWS Essentials for Databricks - Overview of AWS Storage Solutions
- AWS Essentials for Databricks - Overview of AWS s3 and IAM Roles for Databricks
- AWS Essentials for Databricks - Integrating AWS s3 and Glue Catalog
Instructor
Durga Viswanatha Raju Gadiraju
Reviews
No reviews yet. Be the first to review!
Alternative Courses
Demystify complex big data technologies Compared to traditional data processing,...
Free
Organizations are pressured to become digital enterprises for good reason....
Free
You must be logged in to submit a review.