Learn Databricks Performance Optimization | Master how to measure & speed up Databricks queries

[Tushar_Parekar]

Databricks Training & Certifications Learn Databricks Performance Optimization 🚀 Measure first, then make your Spark and Delta Lake workloads faster and cheaper.

🔍 Spark UI & Query Profile 📦 Liquid clustering & data skipping ⚡ Photon & caching

Slow queries and oversized clusters cost time and money. Performance optimization on Databricks starts with measuring: find the real bottleneck, let the platform's automatic optimizations do the heavy lifting, and tune by hand only where it pays off.

The catalog offers one Professional-level course, part of the Advanced Data Engineering with Databricks series, in four formats. Start free and self-paced, or go hands-on with a lab or an instructor. 👇

✓ The course · Professional · Data Engineer

Professional · 2H to 4H

Databricks Performance Optimization

Learn how to optimize workloads and physical data layout with Spark and Delta Lake, and use the Spark UI to assess performance and debug applications. Topics include streaming, liquid clustering, data skipping, caching, Photon, and more.

Free · Self-paced · 2H → Paid / Subscription · Lab · 3H → Paid · Instructor-led Lab · 4H → Paid · Mandarin (中文) · 4H →

Instructor-led also available in English, 日本語, Português BR, and 한국어.

What you'll learn

01  Measure. Read the Spark UI and Query Profile to find where time is really spent.

02  Lay out your data. Use liquid clustering and data skipping so queries read less.

03  Speed up compute. Put caching and Photon to work, and tune streaming workloads.

04  Debug. Diagnose slow applications and confirm each fix made a difference.

Browse Performance Optimization in the catalog →

Measure. Optimize. Verify. Make every query count with official Databricks training.