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Integrate custom applications with AWS Lake Formation – Part 2

  • This post explores how to deploy a fully functional web client application, built with JavaScript/React through AWS Amplify that uses an AWS Lambda Python function as the backend.
  • The provisioned web application provides a user-friendly and intuitive way to view the Lake Formation policies that have been enforced.
  • The article provides a solution overview along with prerequisites for setting up the application.
  • The application backend is based on a GraphQL API with resolvers implemented as a Python Lambda function.
  • There are several controls in the application like selecting a database, number of records, row type, and table.
  • The application also has four outputs organized in tabs, including Unfiltered Table Metadata, Unfiltered Partitions Metadata, Authorized Data, and All Data.
  • You can use the AWS AppSync GraphQL API deployed in this post for other applications.
  • The authors provide detailed queries along with input parameters and all fields defined in the schema as output.
  • In conclusion, this post provides a comprehensive understanding of how to extend the capabilities of Lake Formation by building and integrating your custom data processing applications.
  • The post is authored by Stefano Sandonà, a Senior Big Data Specialist Solution Architect at AWS, and Francesco Marelli, a Principal Solutions Architect at AWS.

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