Data Engineering, Data Science and Analytics With Databricks on Google Cloud
Data engineering and data science use cases, including code samples and notebooks
In this eBook, explore two practical data engineering and data science use cases you can put to work right now to get familiar with Databricks on Google Cloud. It includes code samples and example notebooks for a hands-on experience.
You’ll get a deep dive into these use cases:
- How to build a data pipeline using Delta Lake on Google Cloud Storage, and pull data from Databricks and BigQuery to visualize in Looker
- How to automate experiment tracking with Managed MLflow, version a MLflow model with MLflow Model Registry and write inferences to BigQuery