Databricks Courses

Building the Trusted Data Foundation for Secure AI - Data+AI World Tour for Government 2025

Discover how to build unified, secure data foundations that enable mission-critical AI for government organizations while maintaining compliance and governance standards.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Optimizing Your Agency's Data Strategy

Discover how to transform fragmented government data into a strategic asset that accelerates mission success through unified governance, democratized access, and cloud-native practices.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Building an AI-Native Future for CMS

Discover how CMS leverages Databricks to build an AI-native healthcare system, prevent fraud, and deliver better care through data-driven insights and predictive models.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Migrate from Foreign Parquet to Managed Delta in 3 Simple Steps

Discover how to transform foreign parquet tables into managed Delta tables on Databricks in 3 simple steps, enabling optimized clustering and schema evolution for modern lakehouse architecture.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Creating and Consuming Metric Views

Master Databricks Metric Views to create centralized, governed business metrics that ensure consistent data trust and faster decision-making across your organization.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Tech Talk - Top Tuning Tips for Spark 3.0 and Delta Lake on Databricks

Learn top tuning tips for Apache Spark 3.0 and Delta Lake on Databricks. Discover optimal join strategies, machine sizing, merge operation speedups, and job simplification techniques for enhanced big data processing.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Delta Lake 2.0 Overview - New Features and Community Collaborations

Overview of Delta Lake 2.0 features, integrations, and community collaboration. Highlights include data skipping, Change Data Feed, column mapping, multi-cluster S3 writes, and support for various languages and platforms.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Gazelle-JNI: Offloading Spark SQL to Native Engines for Execution Acceleration

Explore Gazelle-Jni, a middle layer integrating native SQL engines with Spark SQL for accelerated execution through Substrait-transformed physical plan offloading.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Democratizing Metrics at Airbnb - Minerva Platform Architecture and Future Plans

Explore Airbnb's Minerva platform for data consistency at scale, architectural improvements for flexibility, and plans for open-sourcing this centralized metrics solution.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Enable Production ML with Databricks Feature Store

Simplify production ML with Databricks Feature Store. Learn to overcome data challenges, enable real-time inference, and streamline ML projects using a unified data lakehouse platform integrated with Apache Spark and MLflow.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

DataFusion and Apache Arrow: Supercharging Data Analytics with a Rust-Based Query Engine

Explore Rust, Apache Arrow, and DataFusion to accelerate modern data stacks. Learn implementation timelines, optimization techniques, and key features for efficient data analysis and querying.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Building Recommendation Systems Using Graph Neural Networks

Explore graph neural networks for recommendation systems, focusing on RECKON's encoder-decoder architecture to improve entity intelligence and personalize user experiences.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Intermittent Demand Forecasting at Scale Using Meta-Modeling - Deep Auto-Regressive Linear Dynamic Systems

Discover Walmart's innovative solution for predicting demand of slow-moving items using meta-modeling, combining linear dynamic systems and deep auto-regressive networks for accurate forecasts across thousands of SKUs and stores.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Databricks and Enterprise Observability with Overwatch - Understanding Cost, Utilization, and Workloads

Explore Overwatch's capabilities for monitoring Databricks platform costs, utilization, and workloads. Learn implementation, use cases, and solutions to common observability challenges.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Elixir for Data Engineering - Batch and Stream Processing

Discover how Elixir can revolutionize data engineering with distributed processing, Airflow integration, and Kafka event handling. Learn practical examples for efficient batch and stream processing.

• YouTube
• 24 minutes
• Self-Paced
• Free Video