Kazunori Sato and Amy Unruh explore how you can use TensorFlow to drive large-scale distributed machine learning against your analytic data sitting in Google BigQuery, with data preprocessing driven by Dataflow (now Apache Beam). Kazunori and Amy dive into practical examples of how these technologies can work together to enable a powerful workflow for distributed machine learning.

What if we have reached the point where open source can handle massively difficult streaming problems with enterprise-grade durability? Ilya Ganelin presents Capital Ones novel solution for real-time decisioning on Apache Apex. Ilya shows how Apex provides unique capabilities that ensure less than 2 ms latency in an enterprise-grade solution on Hadoop.

Michael Franklin offers an overview of the Berkeley Data Analytics Stack, outlines the current directions it's taking, and settles once and for all how BDAS should be pronounced.

Web and mobile apps shouldn't stop working when there's no network connection. PouchDB is an open source syncing JavaScript database that runs within a web browser. Offline-first apps built using PouchDB can provide a better, faster user experienceboth on- and offline. Bradley Holt demonstrates how to use PouchDB and CouchDB to build offline-enabled web and mobile apps.