Databricks Courses

Portable and Scalable Data Visualization Techniques for Apache Spark and Python Notebooks

Explore portable and scalable data visualization techniques for Apache Spark and Python notebooks, covering strategies, packages, headless rendering, animations, and big data integration.

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

Productionizing Machine Learning with Microservices Architecture

Learn to deploy ML models as microservices using Spark, enabling auto-scaling, versioning, and security. Discover how to aggregate real-time and historical data for inferencing and create actionable insights.

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

Preventing Common Pitfalls in Production Streaming Jobs

Explore key strategies for optimizing streaming jobs in production, covering input parameters, stateful streaming, output configurations, and job modifications to ensure performance and fault tolerance.

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

Composable Data Processing with Apache Spark - Scaling Development and Error Handling

Learn about SIP, an extensible plugin framework for Apache Spark that enhances data processing efficiency, error handling, and scalability in Adobe's Experience Platform.

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

Re-Imagining Apache Spark Development - Tools for Productivity and Standardization

Exploring next-gen tools for Apache Spark development, focusing on productivity, code standardization, metadata, lineage, and CI/CD agility to overcome limitations of traditional ETL tools.

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

PyTorch and COVID-19 Research: Advancements in AI and Data Analysis - Keynotes

Explore PyTorch's advancements in machine learning and learn how AI is helping manage COVID-19 research data, featuring insights on industry adoption and scientific information accessibility.

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

Simplifying Model Development and Management with MLflow - New Features and Innovations

Explore MLflow's latest features for simplified experiment tracking, improved model portability, schema management, and faster deployment in machine learning lifecycle management.

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

The Signal and the Noise - Lessons from 20 Years of Data Analysis

Nate Silver shares insights from 20 years of data analysis, focusing on election modeling, forecasting challenges, and lessons learned in interpreting complex data in competitive environments.

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

Introducing Apache Spark 3.0 - A Decade of Progress and Future Outlook

Apache Spark 3.0: Reflecting on a decade of progress and unveiling new features to enhance data processing accessibility, speed, and compatibility across various sources and environments.

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

Slowly Changing Dimensions Type 2 in Data Lakes - Tech Chat

Explore Slowly Changing Dimensions Type 2 in data lakes using Delta Lake, focusing on market segmentation for a climbing eCommerce site. Learn to track historical and current data effectively.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

State of the Industry - Machine Learning Platforms and MLOps

Explore the state of MLOps and ML platforms with industry leaders, focusing on challenges, common components, and Databricks' approach to unified data analytics and machine learning.

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

Predictive Maintenance on IoT Data for Early Fault Detection with Delta Lake

Explore predictive maintenance using IoT data and Delta Lake for early fault detection. Learn about Industry 4.0 applications, data analytics, and machine learning techniques for improved efficiency and cost savings.

• YouTube
• 1 hour
• Self-Paced
• Free Video

How to Build a Cloud Data Platform - Machine Learning and Business Intelligence - Part 4

Learn to leverage Delta Lake for dashboards and advanced analytics, enabling downstream teams with machine learning and business intelligence capabilities on a unified data platform.

• YouTube
• 1 hour 59 minutes
• Self-Paced
• Free Video

Diving into Delta Lake: How DELETE, UPDATE, and MERGE Work - Part 3

Explore Delta Lake's internals: DELETE, UPDATE, and MERGE operations, transaction log mechanics, and performance optimization techniques for efficient data management.

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

How to Build a Cloud Data Platform - Part 1: Architecture

Learn to build a unified cloud data platform using Delta Lake, combining data warehouses and lakes for improved reliability, performance, and operations.

• YouTube
• 1 hour 58 minutes
• Self-Paced
• Free Video