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 Google to learn how to leverage best practices for implementing a complete data analytics, data engineering and data science lifecycle on the lakehouse with Databricks on Google Cloud.
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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 Databricks on Google Cloud
- Track experiments and tune hyperparameters with MLflow
- Deploy and serve models with MLflow and other Google Cloud services