Skip to main content

Build Your First Hudi Lakehouse with AWS S3 and AWS Glue

Nadine Farah
2 min read
Tags:

/assets/images/blog/DataCouncil.jpg

Soumil Shah is a Hudi community champion building YouTube content so developers can easily get started incorporating a lakehouse into their data infrastructure. In this video, Soumil shows you how to get started with AWS Glue, AWS S3, Hudi and Athena.

In this tutorial, you’ll learn how to:

  • Create and configure AWS Glue
  • Create a Hudi Table
  • Create a Spark Data Frame
  • Add data to the Hudi Table
  • Query data via Athena

/assets/images/blog/build-your-first-hudi-lakehouse-12-19-diagram.jpg

Step 1: Users in this architecture purchase things from online retailers and generate an order transaction that is kept in DynamoDB.

Step 2: The raw data layer stores the order transaction data that is fed into the data lake. To accomplish this, enable Kinesis Data Streams for DynamoDB, and we will stream real-time transactions from DynamoDB into kinesis data streams, process the streaming data with lambda, and insert the data into the next kinesis stream, where a glue streaming job will process and insert the data into Apache Hudi Transaction data lake.

Step 3: Users can build dashboards and derive insights using QuickSight.

Getting Started​

To get started on building this data app, follow the YouTube video on Build Datalakes on S3 and Glue with Apache HUDI.

Follow the the step-by-step instructions.

Apply the code source.

Questions​

If you run into blockers doing this tutorial, please reach out on the Apache Hudi community and tag soumilshah1995 to help debug.