What you'll learn
⚡ Databricks Data Intelligence Platform
⚡ Lakehouse architecture using Databricks Delta Tables
⚡ Spark Execution on Databricks
⚡ Databricks SQL
⚡ Medallion Architecture on Databricks
⚡ Databricks on Azure & AWS
⚡ Implement Data Engineering Projects using Databricks Platform
Requirements
❗ PySpark
❗ Python
❗ SQL
❗ Azure Cloud
Description
In this course, I will be explaining to most famous data platform -Databricks. The reach of this data platform in beyond comprehension. Any organization that deals with data, thinks of Databricks as the first technology tool to work with that data. It is imperative that any person who wants to pursue Data Engineering or Data Architect as a career choice will come across the backbones of it -Spark & Databricks.
Following are the high level topics
✨ Unity Catalog
✨ Delta Tables
✨ Medallion Architecture using Databricks
✨ Batch & Stream Processing using Spark on Databricks
✨ Databricks Notebook & Job
✨ Pipeline Orchestration using Lakeflow
✨ Data Sharing
✨ Data Warehousing on Databricks
✨ Lakebase
✨ Git & CI/CD on Databricks
✨ Data Governance
✨ Databricks SQL & CLI
✨ Compute on Databricks
Hands-On practice is divided into 2 parts
✨ Hands-On Lab & Demo using Finance dataset
✨ Exercise - Build Customer 360 Application using CRM & ERP dataset.
Note:
✨Building customer 360 application for analytics from ERP and CRM data is relatively very complex. The purpose of the exercise is to ingest data, create bronze, silver & gold layer. Gold layer processing would depend on the dimensional schema that would be provided in the exercise itself. To perform complete coding exercise for Customer 360 will take anywhere from 16 - 24 hrs minimum. The dataset is divided into 2 parts - Set 1 & Set 2. Set 2 is much smaller than Set 1. Use Set 2 to perform development and testing exercise and build the pipeline using Set 1, post which performance tuning should be taken up based on students discretion.
✨ Google drive link of project datasets will be provided on-request. For personal plan or subscription based enrollments, it will be shared over a period of time.
✨ Hands-on Finance dataset will be provided to all candidates post enrollment itself.
After completing this course you should be able to clear the following certification
Databricks Certified Data Engineer Professional
Databricks Certified Data Engineer Associate
Who this course is for
⭐ Data Engineers, Data Architects, Data Analyst, Database Administrators
⭐ Solution Architects, Technical Manager
⭐ Project Manager, Platform Manager


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