Conclusion and contributors

Conclusion

Amazon S3 is a scalable, highly durable, and reliable service to build and manage a secure data lake at scale. You can ingest and store structured, semi-structured and unstructured data from wide variety of sources into a centralized platform. With a data lake built on S3, you can use native AWS services to run big data analytics, artificial intelligence (AI) and machine learning (ML) applications to gain insights from your unstructured data sets. You also have the flexibility to use your preferred analytics, AI and ML solutions from the Amazon Partner Network (APN). S3 provides a wide variety of service features to empower IT managers, storage administrators, and data scientists to enforce access policies, manage objects at scale, audit activities and secure data across their data lake built on S3.

In closing, a data lake built on AWS allows you to evolve your business around your data assets, and to use these data assets to quickly and agilely drive more business value and competitive differentiation without limits.

Contributors

The following individuals and organizations contributed to this document:

• John Mallory, Business Development Manager, AWS Storage

• Robbie Wright, Product Marketing Manager, AWS Storage

• Sarang Kamble, Senior Global Solutions Architect