What's New in Databricks Workflows - with Live Demos
Offered By: Databricks via YouTube
Course Description
Overview
Discover the latest capabilities of Databricks Workflows in this 42-minute conference talk presented by the Databricks Workflows product team. Learn how to define, manage, and monitor multi-task workflows for ETL, analytics, and machine learning pipelines on the Data Intelligence Platform. Watch live demonstrations showcasing recent innovations, including repair runs for jobs and tasks with greater control, enhanced control flow using for-each and conditionals, improved job scheduling with file arrival and table triggers, and authoring jobs in Python using Databricks Asset Bundles. Gain valuable insights from Roland Fäustlin and Saad Ansari, Product Managers at Databricks, as they guide you through these new features. Explore additional resources like the Big Book of Data Engineering and The Data Team's Guide to the Databricks Lakehouse Platform to further enhance your knowledge.
Syllabus
What's New in Databricks Workflows - with Live Demos!
Taught by
Databricks
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent