Level up your data engineering skills in this immersive, 3-hour virtual hands-on training.
Join us for a 3-hour, instructor-led workshop to learn how to build a simple, end-to-end data engineering workflow on Databricks, from raw data ingestion to production-ready tables for analytics and BI.
Attend live from anywhere, on any device, and get access to this expert-led session (valued at USD 750).
📆 Choose your live language session:
- Thai Session
Date: 8 July 2026
Time: 9:00am – 12:00pm (Bangkok time)
Format: Live virtual, instructor-led in Thai - Mandarin Session
Date: 15 July 2026
Time: 9:00am – 12:00pm (SGT)
Format: Live virtual, instructor-led in Mandarin
Sessions will NOT be recorded. Registration will close 3 business days before each session date at 5pm local time.
What you’ll learn:
By the end of this onboarding-level workshop, you’ll be able to:
- Navigate the Databricks Data Intelligence Platform and work with catalogs, schemas, volumes, tables, clusters, and notebooks confidently.
- Ingest data into Delta Lake and build reliable, performant tables for downstream analytics.
- Apply the medallion architecture to transform and organize data for data warehousing and BI.
- Orchestrate data engineering tasks using Databricks Workflows, from ingestion to transformation.
- Support data warehousing use cases with Databricks SQL, Lakeflow Spark Declarative Pipelines, and Unity Catalog for governance.
Who should attend:
This workshop is ideal for:
- New or aspiring data engineers
- Data analysts / analytics engineers starting on Databricks
- Technical professionals with basic understanding of data collection, extraction, ingestion, and transformation
- No prior Databricks experience is required.
