John Hitchingham shares insights into the design and operation of FINRA's data lake in the AWS cloud, where FINRA extracts, transforms, and loads over 75B transactions per day. Users can query across petabytes of data in seconds on AWS S3 using Presto and Sparkall while maintaining security and data lineage.

If you have Hadoop clusters in research or an early-stage data lake and are considering strategic vision and goals, this session is for you. Phillip Radley explains how to run Hadoop as a shared service, providing an enterprise-wide data platform hosting hundreds of projects securely and predictably.

Building a data lake involves more than installing and using Hadoop. The goal in most organizations is to build multiuse data infrastructure that is not subject to past constraints. Mark Madsen discusses hidden design assumptions, reviews design principles to apply when building multiuse data infrastructure, and provides a reference architecture.

A digital twin is a virtual model of a product or service that allows analysis of data and monitoring of systems to avert problems before they even occurand even plan for the future by using simulations. Shree Dandekar explores a new cloud-based service from the Honeywell Connected Plant that provides industrial users with around-the-clock monitoring of plant data and rigorous simulations.

Launched in late 2015, Astellas's enterprise data lake project is taking the company on a data governance journey. Kishore Papineni offers an overview of the project, providing insights into some of the business pain points and key drivers, how it has led to organizational change, and the best practices associated with Astellas's new data governance process.

Eric Anderson and Shyam Konda explain how the IT team at Beachbodythe makers of P90X and CIZEsuccessfully ingested all their enterprise data into Amazon S3 and delivered self-service access in less than six months with Talend.

Dirk Jungnickel explains how Dubai-based telco leader du leverages big data to create smart cities and enable location-based data monetization, covering business objectives and outcomes and addressing technical and analytical challenges.

It is no surprise that reducing operational IT expenditures and increasing software capabilities is a top priority for large enterprises. Given its advantages, open source software has proliferated across the globe. Ron Bodkin explains how Teradata drives open source adoption inside enterprises using open source data management and AI techniques leveraged across the analytical ecosystem.