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.
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.