Data Engineering with Databricks - Leveraging the Lakehouse Platform for ETL Pipelines
Offered By: NashKnolX via YouTube
Course Description
Overview
Explore how to leverage the Databricks Lakehouse Platform for productionalizing ETL pipelines in this 44-minute tutorial. Learn to utilize Delta Live Tables with Spark SQL and PySpark to define and schedule pipelines that incrementally process new data from various sources into the Lakehouse. Discover techniques for orchestrating tasks with Databricks Workflows and promoting code using Databricks Repos. Gain valuable insights into data engineering practices and enhance your skills in working with Databricks, data engineering, and Scala.
Syllabus
Data Engineering with Databricks
Taught by
NashKnolX
Related Courses
Delta Live Tables: Modern Software Engineering for ETL PipelinesDatabricks via YouTube Databricks Concepts
DataCamp Databricks Certified Data Engineer Associate Cert Prep: 4 Production Pipelines
LinkedIn Learning Implement a data engineering solution with Azure Databricks
Microsoft via Microsoft Learn Data Engineering on the Data Intelligence Platform - A Comprehensive Guide
Databricks via YouTube