Databricks Asia-Pacific Learning Festival

This course teaches you the basics of using the Databricks Data Intelligence Platform for data engineering and warehousing. You’ll learn to navigate the workspace, manage objects like tables and clusters, ingest and transform data using Delta Lake and the medallion architecture, and orchestrate tasks with Databricks Workflows. The course also covers Databricks SQL, Delta Live Tables, and Unity Catalog, with an optional hands-on lab for practical experience.

Skill Level: Onboarding 
Duration: 3h 
Prerequisites: A basic understanding of data engineering principles and topics such as data collection, extraction, ingestion, and transformation.

This course provides a comprehensive overview of Databricks’ modern approach to data warehousing, highlighting how a data lakehouse architecture combines the strengths of traditional data warehouses with the flexibility and scalability of the cloud. You’ll learn about the AI-driven features that enhance data transformation and analysis on the Databricks Data Intelligence Platform. Designed for data warehousing practitioners, this course provides you with the foundational information needed to begin building and managing high-performant, AI-powered data warehouses on Databricks.

Skill Level: Onboarding 
Duration: 3h 
Prerequisites: The content was developed for participants with these skills/knowledge/abilities: 
A basic understanding of data warehousing principles and topics such as database administration, SQL, data manipulation, and storage.

In this course, you’ll learn how to use the features Databricks provides for business intelligence needs: AI/BI Dashboards and AI/BI Genie. As a Databricks Data Analyst, you will be tasked with creating AI/BI Dashboards and AI/BI Genie Spaces within the platform, managing the access to these assets by stakeholders and necessary parties, and maintaining these assets as they are edited, refreshed, or decommissioned over the course of their lifespan. This course intends to instruct participants on how to design dashboards for business insights, share those with collaborators and stakeholders, and maintain those assets within the platform. Participants will also learn how to utilize AI/BI Genie Spaces to support self-service analytics through the creation and maintenance of these environments powered by the Databricks Data Intelligence Engine.

Skill Level: Associate
Duration: 4h 
Prerequisites: The content was developed for participants with these skills/knowledge/abilities:

• A basic understanding of SQL for querying existing data tables in Databricks.

• Prior experience or basic familiarity with the Databricks Workspace UI.

• A basic understanding of the purpose and use of statistical analysis results.

• Familiarity with the concepts around dashboards used for business intelligence.