Master Databricks (certification - Data Engg. Professional)

Master Databricks (certification - Data Engg. Professional)
Published 8/2026
Created by Soumyadeep Dey
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 241 Lectures ( 32h 5m ) | Size: 22.9 GB
Learn Databricks Data Platform - End to End with projects
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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