Analytics Week | Build and Govern Your Own Data Lakes with AWS Glue

Published on Apr 04, 2019

As data volumes grow and customers store more data on AWS, they often have valuable data that is not easily discoverable and available for analytics. Learn how AWS Glue makes it easy to build and manage enterprise-grade data lakes on Amazon S3. AWS Glue can ingest data from variety of sources into your data lake, clean it, transform it, and automatically register it in the AWS Glue Data Catalog, making data readily available for analytics. Learn how you can set appropriate security policies in the Data Catalog and make data available for a variety of use cases, such as run ad-hoc analytics in Amazon Athena, run queries across your data warehouse and data lake with Amazon Redshift Spectrum, run big data analysis in Amazon EMR, and build machine learning models with Amazon SageMaker and AWS Glue. Speaker: Dylan Tong, Enterprise Solutions Architect, AWS Level: 300 Learn more about AWS on Twitch: See past Videos: