Schedule: Expo Hall sessions

Usama Fayyad and Troels Oerting share outcomes and lessons learned from building and deploying a global data fusion, incident analysis/visualization, and effective cybersecurity defense based on big data and AI at a major EU bank, in collaboration with several financial services institutions. Read more.

The largest infrastructure paradigm change of the 21st century is the shift to the cloud. Companies now face the difficult decision of which cloud to go with. This decision is not just financial and in many cases rests on the underlying infrastructure. Jason Wang, Suraj Acharya, and Tony Wu compare the relative strengths and weaknesses of AWS and Azure. Read more.

Successfully building and deploying a machine learning model is difficult to do once. Enabling other data scientists to reproduce your pipeline, compare the results of different versions, track what's running where, and redeploy and rollback updated models is much harder. Mani Parkhe and Andrew Chen offer an overview of MLflow—a new open source project from Databricks that simplifies this process. Read more.

Michael Freedman explains how to leverage Postgres for high-volume time series workloads using TimescaleDB, an open source time series database built as a Postgres plug-in. Michael covers the general architectural design principles and new time series data management features, including adaptive time partitioning and near-real-time continuous aggregations. Read more.

Dan Harple explains how distributed systems are being influenced by and are influencing operational, financial, and social impact requirements of a wide range of enterprises and how trust in these distributed systems is being challenged, elevated, and resolved by engineers and architects today. Read more.

Mike Tung offers an overview of available open source and commercial knowledge graphs and explains how consumer and business applications are already taking advantage of them to provide intelligent experiences and enhanced business efficiency. Mike then discusses what's coming in the future. Read more.

Michelle Ufford shares some of the cool things Netflix is doing with data and the big bets the company is making on data infrastructure, covering workflow orchestration, machine learning, interactive notebooks, centralized alerting, event-based processing, platform intelligence, and more. Read more.

PostgreSQL is often regarded as the world’s most advanced open source database—and it’s on fire. Umur Cubukcu moves beyond the typical list of features in the next release to explore why so many new projects “just use Postgres” as their system of record (or system of engagement) at scale. Along the way, you’ll learn how PostgreSQL’s extension APIs are fueling innovations in relational databases. Read more.

Chris Fregly details a full-featured, open source end-to-end TensorFlow model training and deployment system, using the latest advancements with Kubernetes, TensorFlow, and GPUs. Read more.