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.
