Databricks Courses

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Managing the Complete Machine Learning Lifecycle with MLflow - Introduction to MLflow Tracking

Introduction to MLflow: tracking experiments, packaging projects, deploying models, and managing lifecycle. Learn to record, reproduce, and compare ML runs using MLflow's components and UI.

• YouTube
• 58 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Securely Enabling Data Science in the Cloud

Explore secure cloud-based data science strategies, focusing on enabling analytics while maintaining data privacy and compliance across various cloud providers and data types.

• YouTube
• 23 minutes
• On-Demand
• Free Video

AI-Powered Streaming Analytics for Real-Time Customer Experience

Explore AI-powered streaming analytics for real-time customer engagement. Learn to capture, process, and respond to data from various sources using Spark Structured Streaming for improved customer experiences.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Building Data Intensive Analytic Applications on Top of Delta Lakes

Explore Delta Lake's ACID transactions for Apache Spark, enhancing data reliability and query performance. Learn to address challenges in modern data engineering through hands-on examples and practical applications.

• YouTube
• 43 minutes
• On-Demand
• Free Video