Three Practical Use Cases for Databricks on AWS

Code data science models and pipelines

Want to get started with analytics use cases on your data lake, but unsure how to go about it? Get hands-on with Databricks notebooks and code the three most common data science scenarios, with code examples and commentary.

Learn how to code:

  • Recommendation engines: Improve customer engagement and drive revenue by suggesting relevant products and services
  • Churn analysis: Future-proof your business by predicting and preventing churn of your most valuable customers
  • Intrusion detection: Monitor network activity in real time to identify and shut down penetration