McGraw-Hill Optimizes Analytics Workloads with Databricks
663 views · Published 30 May 2018 · 59:21 · Indexed 6 November 2026
Channel: Amazon Web Services · 2018 · Science & Technology
Learn more about AWS Partner Webinars at - https://amzn.to/2Jfvb9j. Using Databricks, McGraw-Hill securely transformed itself from a collection of data silos with limited access to data and minimal collaboration to an organization with democratized access to data and machine learning. This ultimately enables its data teams to rapidly identify usage patterns predicting student performance, so they can make timely enhancements to the software that proactively guide at-risk students through the course material. Join our webinar to learn: - How a cloud-based unified analytics platform can help your company perform analytics faster, at lower cost. - How to mitigate challenges presented by data silos so data science teams can collaborate effectively. - How to implement data analytics infrastructure to put models into production quickly
More from this channel
-
1:00:35
AWS Webcast - Amazon RDS for MySQL: Best Practices for Performance and Data Migration
-
56:49
AWS Webcast - Build Mobile Apps with a Secure, Scalable Back End on DynamoDB
-
1:31
AWS | Intel re:Play Party 2014: Behind the Scenes
-
6:17
Getting Started with Amazon CloudSearch: Product tour screencast
-
3:22
TATA Motors Expands its Hybrid IT infrastructure using AWS
-
3:01
Granbio Uses AWS to Reduce Time to Market by Three Months
-
2:36
Webmotors Uses AWS to Improve Website Performance by 45%
-
3:25
AWS Summit 2015 | New York - Keynote Highlights