Deploy Workloads with Databricks Workflows

By scheduling tasks with Databricks Jobs, applications can be run automatically to keep tables in the Lakehouse fresh. Using Databricks SQL to schedule updates to queries and dashboards allows quick insights using the newest data. In this course, students will be introduced to task orchestration using the Databricks Workflow Jobs UI. Optionally, they will configure and schedule dashboards and alerts to reflect updates to production data pipelines.

In this half-day course, you’ll learn how to orchestrate data pipelines with Databricks Workflow Jobs and schedule dashboard updates to keep analytics up-to-date. We’ll cover topics like getting started with Databricks Workflows, how to use Databricks SQL for on-demand queries, and how to configure and schedule dashboards and alerts to reflect updates to production data pipelines.

Languages Available: English | 日本語 | Português BR | 한국어

Skill Level

Associate

Duration

Prerequisites

Beginner-level familiarity with basic cloud concepts (virtual machines, object storage, identity management)
Ability to perform basic code development tasks (create compute, run code in notebooks, use basic notebook operations, import repos from git, etc)
Intermediate familiarity with basic SQL concepts (CREATE, SELECT, INSERT, UPDATE, DELETE, WHILE, GROUP BY, JOIN, etc.)

Outline

Introduction to Workflows
Jobs Compute

- Scheduling Tasks with the Jobs UI

- Workflows Lab

Jobs Features

- Explore Scheduling Options

- Conditional Tasks and Repairing Runs

- Modular Orchestration

Databricks Workflows Best Practices

Upcoming Public Classes

Date	Time	Language	Price
Date	Time	Language	Price	Jun 16	09 AM - 01 PM (Asia/Kolkata)	English	$750.00
Jun 18	01 PM - 05 PM (America/New_York)	English	$750.00
Jun 20	09 AM - 01 PM (Europe/London)	English	$750.00
Jul 14	01 PM - 05 PM (Europe/London)	English	$750.00
Jul 15	01 PM - 05 PM (Asia/Kolkata)	English	$750.00
Jul 17	09 AM - 01 PM (America/New_York)	English	$750.00
Aug 26	09 AM - 01 PM (Asia/Kolkata)	English	$750.00
Aug 29	01 PM - 05 PM (Europe/London)	English	$750.00
Sep 24	01 PM - 05 PM (America/New_York)	English	$750.00
Sep 26	01 PM - 05 PM (Asia/Kolkata)	English	$750.00
Oct 22	09 AM - 01 PM (Asia/Kolkata)	English	$750.00
Oct 24	01 PM - 05 PM (Europe/London)	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.

Request Private Training

See all our registration options

Registration options

Databricks has a delivery method for wherever you are on your learning journey

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

Instructor-Led

Public and private courses taught by expert instructors across half-day to two-day courses

Blended Learning

Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase

Purchase now

Skills@Scale

Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details

Upcoming Public Classes

Data Analyst

Data Warehousing with Databricks

This course is designed for data professionals who want to explore the data warehousing capabilities of Databricks. Assuming no prior knowledge of Databricks, it provides an introduction to leveraging Databricks as a modern cloud-based data warehousing solution. Learners will explore how use the Databricks Data Intelligence Platform to ingest, transform, govern, and analyze data efficiently using the industry-standard TCP-DI dataset as a reference. Learners will also explore Genie, an innovative Databricks feature that simplifies data exploration through natural language queries. By the end of this course, participants will be equipped with the foundational skills to implement and optimize a data warehouse using Databricks.

Languages Available: English | 日本語 | 한국어

Apache Spark Developer

Monitoring and Optimizing Apache Spark Workloads on Databricks

This course explores the Lakehouse architecture and Medallion design for scalable data workflows, focusing on Unity Catalog for secure data governance, access control, and lineage tracking. The curriculum includes building reliable, ACID-compliant pipelines with Delta Lake. You'll examine Spark optimization techniques, such as partitioning, caching, and query tuning, and learn performance monitoring, troubleshooting, and best practices for efficient data engineering and analytics to address real-world challenges.

Apache Spark Developer

Developing Applications with Apache Spark™

Master scalable data processing with Apache Spark in this hands-on course. Learn to build efficient ETL pipelines, perform advanced analytics, and optimize distributed data transformations using Spark’s DataFrame API. Explore grouping, aggregation, joins, set operations, and window functions. Work with complex data types like arrays, maps, and structs while applying best practices for performance optimization.