On-Demand workshop
Databricks Essentials: Build Your First End-to-End Pipeline
Databricks
Analytics Engineering
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Databricks is one of the most widely used data platforms in the industry, but getting a clear picture of how it all fits together — from ingestion to analysis — isn't always easy when you're starting out. Most tutorials cover individual features in isolation, leaving you with fragments rather than a full workflow.
In this session, you'll build a simple end-to-end pipeline from scratch, connecting the core pieces of Databricks in a real-world context so you can see exactly how they work together.
What you'll learn
Understand the core components of Databricks and how they interact
Knowing how notebooks, clusters, workflows, and Delta Lake connect gives you a foundation you can build on — whether you're exploring Databricks for the first time or trying to make sense of what you've seen in the wild.
Build an end-to-end pipeline from raw data ingestion to analysis-ready output
Walking through the full pipeline — not just individual steps — is what turns scattered knowledge into a usable mental model.
Describe the purpose of Delta Lake, medallion architectures, and Databricks workflows
These aren't just vocabulary words; understanding what each piece does and why helps you make better decisions when you're working with real data.
Navigate the Databricks workspace and identify the role of its major tools and features
Confidence in the interface is a prerequisite for everything else — this outcome ensures you leave knowing where things live and what they're for.
Who should join this workshop?
Analysts and aspiring data engineers who want to understand how Databricks works in practice, not just in theory
Professionals with basic SQL or Spark experience who are ready to move beyond isolated tutorials and see a full workflow
Early-career data professionals looking to build confidence working with modern data platforms
Prerequisites
Access to Databricks Free Edition (required)
No prior experience with Databricks or Spark necessary
Familiarity with Python and/or SQL is helpful, but not required
This is a live, hands-on session and active participation is expected
Kim Fessel
Founder, Dr Kim Data LLC
Kimberly Fessel is a data consultant, instructor, and author of the book Head First SQL, 2nd edition (O'Reilly). With decades of experience teaching individuals and groups in corporate and academic settings, she strives to make technical concepts accessible through intuitive, engaging instruction.
