Data analysts and BI developers
moving into data engineering.
DEB-301 · Launch cohort starts Thu, Oct 1Fri, Oct 2
Data Engineering with Databricks
Design, build and govern production-ready lakehouse pipelines with Databricks. Every AI project runs on data someone had to make trustworthy. Learn to build the pipelines that do it, on the platform many data teams already use.
Emergera is an independent training provider. Databricks is a trademark of Databricks, Inc. This course is not affiliated with or endorsed by Databricks.
- Launch cohort
- Oct 1 to Oct 30, 2026Oct 2 to Oct 31, 2026 (IST)
- Live sessions
- Tue & Thu 7 PM ET, Sat 12 PM ETWed & Fri 4:30 AM IST, Sat 9:30 PM IST
- Workload
- 32 hours live, plus 6 to 8 hours a week
- Certificate
- Awarded at a 70% overall score
Who it's for
Built for people who ship.
Working SQL. Basic Python helps. You set up a Databricks trial workspace or Community Edition in week one.
ETL and database developers
modernizing to the lakehouse.
Software engineers
specializing in data platforms.
Data engineers
preparing for Databricks certification.
Outcomes
What you will learn.
Lakehouse fundamentals
The lakehouse, the Databricks workspace, and where it fits next to warehouses and lakes.
Spark and Delta Lake
PySpark, Spark SQL and Delta tables with schema enforcement and time travel.
Medallion architecture
Bronze, silver and gold layers, incremental processing and MERGE.
Ingestion and pipelines
Auto Loader, Lakeflow Connect, batch and streaming pipelines, data quality.
Orchestration and CI/CD
Jobs and workflows, and deployments with Databricks Asset Bundles and Git.
Governance
Unity Catalog permissions, lineage and data sharing.
Curriculum
Four weeks, one lab every week.
Live sessions Tue and Thu, 7:00 to 9:00 PM ET, and Sat, 12:00 to 3:00 PM ETWed and Fri, 4:30 to 6:30 AM IST, and Sat, 9:30 PM to 12:30 AM IST. Plus 6 to 8 hours of self-paced work each week.
- 01Thu, Oct 1 to Wed, Oct 7Fri, Oct 2 to Thu, Oct 8
Lakehouse foundations: Databricks, Spark and Delta Lake
- Lakehouse architecture
- Notebooks, clusters and serverless
- Spark DataFrames and PySpark
- Spark SQL
- Delta Lake: ACID, schemas, time travel
Week 1 lab
Load a raw dataset, explore it, and write your first Delta tables.
- 02Thu, Oct 8 to Wed, Oct 14Fri, Oct 9 to Thu, Oct 15
Ingestion and transformation: the medallion architecture
- Auto Loader
- Lakeflow Connect
- Bronze, silver and gold
- Incremental processing and MERGE
- Data quality and bad records
Week 2 lab
Build a bronze to gold pipeline for a sample business domain.
- 03Thu, Oct 15 to Wed, Oct 21Fri, Oct 16 to Thu, Oct 22
Pipelines, streaming, orchestration and DevOps
- Lakeflow declarative pipelines
- Expectations
- Structured Streaming
- Jobs, retries and alerts
- CI/CD with Databricks Asset Bundles
Week 3 lab
Turn your pipeline into a scheduled, tested, version-controlled deployment.
- 04Thu, Oct 22 to Fri, Oct 30Fri, Oct 23 to Sat, Oct 31
Governance, serving, certification prep and capstone
- Unity Catalog
- Lineage and data sharing
- Serving data to BI and AI
- Cost and performance tuning
- Certification exam domains
Demo Day
Demo Day on Friday, October 30: capstone presentations.
Capstone
An end-to-end, governed lakehouse.
Design and build a lakehouse for a realistic business domain, such as healthcare claims, e-commerce or IoT telemetry, then present it on Demo Day.
You deliver
- Ingestion
- Medallion layers
- Quality checks
- Orchestration and CI/CD
- Unity Catalog governance
Certificate of Completion at a 70% overall score across labs, participation and the capstone.
Launch cohort · Oct 1 to 30Oct 2 to 31 IST
Registration is open.
Register now to save your place. Pricing is announced soon, and we'll email your payment link before the cohort starts.
- 14 live sessions, 32 hours of instruction
- A lab every week and a Demo Day capstone
- Emergera Certificate of Completion
- Career-pathway eligibility
Questions
Before you join.
Who is this for?
Data analysts and BI developers moving into data engineering. ETL and database developers modernizing to the lakehouse. Software engineers specializing in data platforms. Data engineers preparing for Databricks certification.
What do I need to know first?
Working SQL. Basic Python helps. You set up a Databricks trial workspace or Community Edition in week one.
When are the live sessions?
Tuesdays and Thursdays, 7:00 to 9:00 PM Eastern, and Saturdays, 12:00 to 3:00 PM Eastern, from Thursday, October 1 to Demo Day on Friday, October 30, 2026.Wednesdays and Fridays, 4:30 to 6:30 AM IST, and Saturdays, 9:30 PM to 12:30 AM IST, from Friday, October 2 to Demo Day on October 30 (US time), 2026.
How much time does it take?
32 hours of live instruction across 14 sessions, plus 6 to 8 hours of self-paced work each week.
What do I get at the end?
The Emergera Certificate of Completion, awarded with a 70% overall score across labs, participation and the capstone, plus a capstone you can show.
How much does it cost?
Pricing for the launch cohort will be announced shortly. Register now to save your place, and we will email you the price and your payment link before the cohort starts. Learners in India pay in rupees through Razorpay.
What happens after the program?
Eligible learners can be considered for career opportunities through USM Business Systems.
Does this include the Databricks certification exam?
Certification prep is included in week four. The official Databricks exam is taken separately, with Databricks.
Emergera is an independent training provider. Databricks is a trademark of Databricks, Inc. This course is not affiliated with or endorsed by Databricks.