Data Engineer

DATB-DWLJ : Deploy Workloads with Lakeflow Jobs

Course Duration

3 Hours

Delivery

ILT/VILT

Overview

Overview Course Curriculum Training Schedule Exam & Certification FAQs

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.

What You'll Learn

Introduction to Data Engineering in Databricks
Lakeflow Jobs Core Concepts
Creating and Scheduling Jobs
Advance Lakeflow Jobs Features

Who Should Attend

Data engineers or real-time analytics developers building streaming pipelines on the Databricks Lakehouse Platform.
Professionals responsible for ingesting, transforming and delivering continuous data flows using Spark Structured Streaming, Lakeflow Declarative Pipelines, streaming tables and materialised views.
Individuals applying concepts like event-time processing, watermarking, late data handling, incremental updates and Change Data Capture (CDC) in their pipelines.
Practitioners with experience in SQL, Python and working with the Databricks workspace who want to deepen their skills in declarative streaming pipeline design and orchestration.
Teams transitioning from batch-only workflows to hybrid or fully streaming architectures and aiming to build maintainable, observable, scalable streaming pipelines using the Lakeflow framework on Databricks.

Prerequisites

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.

Learning Journey

Coming Soon...

Module 1. Introduction to Data Engineering in Databricks

Data Engineering in Databricks
What is Lakeflow Jobs?

Module 2. Lakeflow Jobs Core Concepts

Building Blocks of Lakeflow Jobs
Task Orchestration
Creating a Job Using Lakeflow Jobs UI

Module 3. Creating and Scheduling Jobs

Common Task Configuration Options
Jobs Scheduling and Triggers
Demo - Exploring Scheduling Options

Module 4. Advance Lakeflow Jobs Features

Conditional and Iterative Tasks
Handling Task Failures
Lakeflow Jobs in Production
Best Practices

Frequently Asked Questions (FAQs)

None

Keep Exploring

Course Curriculum

Training Schedule

Exam & Certification

FAQs

Frequently Asked Questions

Improve yourself and your career by taking this course.

Enroll Now

More Courses By Databricks

Browse All Courses

IBM Analytics3_8g102g-ibm-security-guardium-data-protection-foundations-training

Data Engineer

Ready to Take Your Business from Great to Awesome?

Level-up by partnering with Trainocate. Get in touch today.

Name

Phone

I'm inquiring for

Myself

Company

Inquiry Details

By submitting this form, you consent to Trainocate processing your data to respond to your inquiry and provide you with relevant information about our training programs, including occasional emails with the latest news, exclusive events, and special offers.

You can unsubscribe from our marketing emails at any time. Our data handling practices are in accordance with our Privacy Policy.