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Formally Azure Databricks Essentials

The data lakehouse is a simple, open and efficient data architecture that combines the best of data warehouses and data lakes on one platform. The lakehouse brings analytics, business intelligence, data science and machine learning together to enable faster decisions and predictions at scale. Join Databricks and Microsoft to learn how to leverage best practices for implementing a complete data analytics, data engineering and data science lifecycle on the lakehouse with Azure Databricks.

This live, virtual hands-on lab will teach you how to:

• Access all your data — structured, semi-structured, unstructured — with a lakehouse
• Use Databricks SQL to query and visualize data in your lakehouse
• Train models and create predictions with Azure Databricks
• Track experiments and tune hyperparameters with MLflow
• Deploy and serve models with MLflow and other Azure services

Agenda [BST]
9:00 AM - 9:20 AM: Databricks Keynote
9:20 AM - 9:30 AM: Microsoft / Customer Presentation
9:30 AM - 10:15 AM: Data Engineering Hands-On Lab
10:15 AM - 11:00 AM: Databricks SQL Hands-On Lab
11:00 AM - 11:45 AM: Data Science & Machine Learning Hands-On Lab
11:45 AM - 12:00 PM: Q&A