Deploy Workloads with Lakeflow Jobs
Deploy Workloads with Lakeflow Jobs course teaches how to orchestrate and automate data, analytics, and AI workflows using Lakeflow Jobs as a unified orchestration platform within the Databricks ecosystem.
⇾ You will learn to design and implement data workloads using Directed Acyclic Graphs (DAGs), configure various scheduling options, and implement advanced workflow features such as conditional task execution, run-if dependencies, and for each loops.
⇾ The course covers best practices for creating robust, production-ready pipelines with proper compute selection, modular orchestration, error handling techniques, and fault-tolerant design-all natively integrated within the Databricks Data Intelligence Platform.
Languages Available: English | 日本語 | Português BR | 한국어 | Español
⇾ Completion of the course "Get Started with Databricks for Data Engineering", or a solid understanding of the Databricks Data Intelligence Platform
⇾ Basic Understanding of topics like navigating a Databricks Workspace, Apache Spark, Delta Lake, Medallion Architecture, and Unity Catalog.
⇾ Familiarity with python/pyspark
⇾ Experience in writing intermediate-level SQL queries.
Outline
Introduction to Data Engineering in Databricks
⇾ Data Engineering in Databricks
⇾ What is Lakeflow Jobs?
Lakeflow Jobs Core Concepts
⇾ Building Blocks of Lakeflow Jobs
⇾ Task Orchestration
⇾ Creating a Job Using Lakeflow Jobs UI
Creating and Scheduling Jobs
⇾ Common Task Configuration Options
⇾ Jobs Scheduling and Triggers
⇾ Demo - Exploring Scheduling Options
Advance Lakeflow Jobs Features
⇾ Conditional and Iterative Tasks
⇾ Handling Task Failures
⇾ Lakeflow Jobs in Production
⇾ Best Practices
Upcoming Public Classes
Date | Time | Language | Price |
|---|---|---|---|
Jan 06 | 09 AM - 01 PM (Asia/Kolkata) | English | $750.00 |
Jan 06 | 09 AM - 01 PM (Europe/London) | English | $750.00 |
Jan 06 | 09 AM - 01 PM (America/New_York) | English | $750.00 |
Jan 06 | 09 AM - 01 PM (America/New_York) | English | $750.00 |
Public Class Registration
If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.
Private Class Request
If your company is interested in private training, please submit a request.
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