This course is for Graduates, IT Freshers and Experienced Professional. Candidates require prior knowledge in python, Spark concepts

Duration: 1.5 months

Delivery Mode:  Classroom / Online

Track: Weekdays (30-35 days) /Weekends (10-12 weekends)

Candidate will do practical and hands on learning from Databricks program

Section 1: Data Lake Basics & Introduction 

Section 2 – Working in Databricks Workspace        

Section 3 – Working with Databricks File System - DBFS        

Section 4: Data Lake Architecture       

Section 5: Implementing Data Lake

Section 6: Data Lake Storage Solutions

Section 7 – Working with Unity Catalog

Section 8: Databricks Lakehouse Platform

Section 9 – Working with Delta Lake and Delta Tables       

Section 10 – Working with Databricks Incremental Ingestion Tools        

Section 11 – Working with Databricks Delta Live Tables (DLT)        

Section 12 – Databricks Project and Automation Features        

Section 13 – Capstone Project          

Section 14: ELT with Spark SQL and Python         

Section 15: Incremental Data Processing          

Section 16 – Getting Started with Spark Streaming        

Section 17 – Kafka for Data Engineers        

Section 18 – Streaming Aggregates and State Management        

Section 19:  Production Pipelines         

Section 20 – Capstone Project – Implementing Real-time Project in Lakehouse        

Section 21:  Data Governance