Data Lakes on AWS

Break down data silos and enable analytics at scale in an Amazon S3 data lake

Overview

Data lakes on AWS help you break down data silos to maximize end-to-end data insights. With Amazon Simple Storage Service (Amazon S3) as your data lake foundation, you can tap into AWS analytics services to support your data needs from data ingestion, movement, and storage to big data analytics, streaming analytics, business intelligence, machine learning (ML), and more – all with the best price performance. More than 1,000,000 data lakes run on AWS.

Amazon S3 is the best place to build data lakes because of its unmatched durability, availability, scalability, security, compliance, and audit capabilities. With AWS Lake Formation, you can build secure data lakes in days instead of months. AWS Glue then allows seamless data movement between data lakes and your purpose-built data and analytics services.

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      Cloud object storage drives all your data lake workloads

      Learn about the evolution and growing importance of data lakes in enterprise decision-making

      Benefits of data lakes with AWS

      Data governance on data lakes with Amazon S3 and Amazon DataZone

      Effective data governance is key to ensure the integrity and trustworthiness of your data. Learn why data lakes are important to organizations, the AWS model of data governance, and the various services that can help with governing data lakes.  

      Essential pillars for data lakes on AWS

      Govern data in your data lakes

      Centrally manage and scale fine-grained data access permissions with AWS.