Why You Should Build a Data Lake on AWS

AWS provides a highly scalable, flexible, secure, and cost-effective platform for your organization to build a Data Lake – a data repository for both structured and unstructured data. With a Data Lake on AWS, your organization no longer needs to worry about structuring or transforming data before storing it. You can analyze data on-demand without knowing what questions you’re going to ask upfront.

 

Building a Data Lake on AWS

The flexibility of AWS enables you to architect a Data Lake to meet your specific needs. Whether building a Data Lake on AWS yourself or leveraging the skills and expertise of an APN partner to implement one for you, AWS provides the most complete big data platform to help you securely and cost effectively analyze your data.

Click the video to the right to learn more >>
 

Benefits of a Data Lake on AWS

Flexibility

Store all your data, regardless of volume or format, using Amazon Simple Storage Service (Amazon S3).

Easily ingest data in a variety of ways, including leveraging Amazon Kinesis, AWS Snowball, AWS Direct Connect, and more.

Most Complete Platform

Leverage all of the benefits of AWS including agility, security, flexibility, and a lower Total Cost of Ownership (TCO).

Take advantage of AWS’s broad and deep set of big data services to drive new insights.

Security and Compliance

Easily encrypt all of the data in your AWS-based Data Lake.

Achieve PCI DSS, HIPAA, and other regulatory compliance standards with AWS.

 

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