Three Practical Use Cases for Databricks on AWS

Using real-world case studies

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