Starter Kit

Introduction to Data Lake Use Cases on AWS

How to get started with data lake analytics
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Want to get started with analytics use cases on your data lake but unsure how to go about it? Start here with this package of real-world use cases you can tackle right away and line-by-line detail in example notebooks.

This starter kit contains 3 resources:

  • Demo: Databricks on AWS Cloud Integrations: Learn how to connect to EC2, S3, Glue and IAM, ingest Kinesis streams in Delta Lake and integrate Redshift and QuickSight
  • eBook: Mining Your Data Lake for Analytics Insights: Use cases from LoyaltyOne and Comcast show you how Delta Lake delivers more data in less time (at lower cost), enables faster queries and simplifies data engineering at scale
  • eBook: 3 Use Cases for Databricks on AWS: Get hands-on with Databricks notebooks, code examples and commentary for the three most common data science scenarios: recommendation engines, churn analysis and intrusion detection