Building a Data Lake for Machine Learning with AWS

A data lake allows you to store massive amounts of data in its original form without the need to enforce a predefined schema. This enables a far more agile and flexible architecture, which makes it easier to gain new types of analytical insights from your data. In this conversation, we will show you how enterprises can start building their machine-learning capabilities using data lakes.

In this webinar, you’ll learn:

  • How AWS can help enable a data lake architecture
  • Some of the key architectural considerations when building a data lake
  • How Enterprises can start building their Analytical Platforms using data lakes
  • An introduction to AWS AI and machine learning platforms using data lakes

Presenter

Nitin Tyagi

Vice President, Enterprise Solutions
Cambridge Technology, Inc.

    What is 6 x 7?

    We’re committed to your privacy. Cambridge uses the information you provide to us to contact you about our relevant content, products, and services. You may unsubscribe from these communications at any time. For more information, check out our Privacy Policy.

      Start a conversation
      Our team usually replies within one business day.

      What is 4 + 3?

      By submitting, you agree to be contacted about our services.