Data Engineering with Databricks

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Master Data Engineering on Databricks Lakehouse Platform

  • Learn Databricks architecture, cluster management & notebook analysis
  • Build reliable ETL pipelines with Delta Lake for data transformation
  • Implement advanced data processing techniques with Apache Spark

Course Highlights:

  • Create & scale Databricks clusters for workloads
  • Load data from diverse sources into notebooks
  • Explore, visualize & profile datasets with notebooks
  • Version control & share notebooks via Git integration
  • Read & ingest data in various file formats
  • Transform data with SQL & DataFrame operations
  • Handle complex data types like arrays, structs, timestamps
  • Deduplicate, join & flatten nested data structures
  • Identify & fix data quality issues with UDFs
  • Load cleansed data into Delta Lake for reliability
  • Build production-ready pipelines with Delta Live Tables
  • Schedule & monitor workloads using Databricks Jobs
  • Secure data access with Unity Catalog

Gain comprehensive skills in data engineering on Databricks through hands-on labs, real-world projects and best practices for the modern data lakehouse.



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