Join us for more than 100 learning opportunities on topics such as DevOps, security, governance and compliance, digital transformation, scientific research and computing, new app models, and more. Dive into AWS solutions in multiple formats, including services intros, new service deep dives, and tech talks.
The AWS big data and analytics portfolio is comprised of services that are inherently built to run @scale. Learn how to build a data lake in AWS to solve real-world enterprise problems. Amazon Athena, Amazon Redshift Spectrum, Spectrum, Amazon EMR, Amazon Elasticsearch Service, Amazon Kinesis, Amazon QuickSight, AWS Glue, and AWS Lambda comprise the core elements for building data lakes in AWS. We will review how AWS Identity and Access Management provides end-to-end security as well as how data lakes allow organizations to derive valuable insights by maximizing their data.
There is an explosion of new and promising technologies that could help solve our enterprises’ problems. These include advances in Cloud Computing, Internet of Things, Augmented Reality, Intelligent Digital Assistants, Artificial Intelligence and in working differently. Learn how JPL -- an 80-year old startup -- is rapidly experimenting with all these technologies to address the challenges of Space exploration. You may find that the lessons learned apply to your own enterprise.
This session provides an overview of how FINRA practices secure development and deployment on AWS using solutions built around AWS. We will review how FINRA incorporates security into the delivery stream and the tools they leverage to achieve their security and compliance goals. This session will showcase how encrypted Amazon Machine Images are deployed across multiple accounts/virtual private clouds, how security groups are architected and managed for multiple environments, and proprietary data is managed at an enterprise scale. The session includes a technical walkthrough of the implementation as well as live demo.