Home icon

Building a Multicloud Resource Data Lake Using CloudQuery

Open Source Blog



The article discusses how to build a multicloud resource data lake using CloudQuery, an open-source tool for extracting cloud infrastructure data from major providers like AWS, Azure, and GCP. The data can then be queried and analyzed using AWS Glue, Amazon Athena, and Amazon Quicksight for actionable insights into the multicloud environment.

Specifically, the article covers:

  • What CloudQuery is and how it works
  • Recommendations for running CloudQuery at scale, such as using Amazon ECS and AWS Fargate
  • An example architecture for collecting data from multiple cloud providers and storing it in an Amazon S3 bucket
  • How to normalize and analyze the data using AWS Glue, Amazon Athena, and Amazon Quicksight
  • Benefits of building a multicloud resource data lake with CloudQuery


Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Mar 18
2024
Multicloud data lake analytics with Amazon Athena
May 29
2025
Optimizing data lakes with Amazon S3 Tables and Apache Spark on Amazon EKS
Nov 18
2025
Breaking down cloud data silos between Amazon SageMaker Unified Studio and Google Cloud BigQuery
Mar 4
2025
Build a data lake for streaming data with Amazon S3 Tables and Amazon Data Firehose

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.