Evolving the JavaScript ecosystem

Web apps are complex and comprised of many technologies. It can be difficult to simultaneously scale large server and client codebases. Scala is an expressive, performant language that can now run in your browser as well as on the JVM. Paul Draper explains how Scala's presence on the two most ubiquitous runtimes greatly assists web developers.

FINRA ingests over 50 billion records of stock market trading data daily into multipetabyte databases. Janaki Parameswaran and Kishore Ramachandran explain how FINRA technology integrates data feeds from disparate systems to provide analytics and visuals for regulating equities, options, and fixed-income markets.

Shirshanka Das and Yael Garten describe how LinkedIn redesigned its data analytics ecosystem in the face of a significant product rewrite, covering the infrastructure changes, such as client-side activity tracking, a unified reporting platform, and data virtualization techniques to simplify migration, that enable LinkedIn to roll out future product innovations with minimal downstream impact.

Li Li and Hao Hao elaborate the architecture of Apache Sentry + RecordService for Hadoop in the cloud, which provides unified, fine-grained authorization via role- and attribute-based access control, to encourage attendees to adopt Apache Sentry and RecordService to protect sensitive data on the multitenant cloud across the Hadoop ecosystem.

Siva Raghupathy demonstrates how to use Hadoop innovations in conjunction with Amazon Web Services (cloud) innovations.

The need to quickly acquire, process, prepare, store, and analyze data has never been greater. The need for performance crosses the big data ecosystem toofrom the edge to the server to the analytics software, speed matters. Raghunath Nambiar shares a few use cases that have had significant organizational impact where performance was key.