The UX of buildings, cities, and infrastructure

Mahesh Goud shares success stories using Ticketmaster's large-scale contextual bandit platform for SEM, which determines the optimal keyword bids under evolving keyword contexts to meet different business requirements, and explores Ticketmaster's streaming pipeline, consisting of Storm, Kafka, HBase, the ELK Stack, and Spring Boot.

Kevin Mao explores the value of and challenges associated with collecting raw security event data from disparate corners of enterprise infrastructure and transforming them into high-quality intelligence that can be used to forecast, detect, and mitigate cybersecurity threats.

The cloud is becoming pervasive, but it isnt always full of rainbows. Defining a strategy that works for your company or for your use cases is critical to ensuring success. Jim Scott explores different use cases that may be best run in the cloud versus on-premises, points out opportunities to optimize cost and operational benefits, and explains how to get the data moved between locations.

Twitter processes billions of events per day the instant the data is generated using Heron, an open source streaming engine tailored for large-scale environments. Bill Graham, Avrilia Floratau, and Ashvin Agrawal explore the techniques Heron uses to elastically scale resources in order to handle highly varying loads without sacrificing real-time performance or user experience.

Over the course of just six years, Pinterest has helped over 100 million pinners discover and collect over 75+ billion ideas to plan their everyday lives. Romit Jadhwani walks you through the different phases of this hypergrowth journey and explores the focuses, thought processes, and decisions of Pinterests data team as they scaled and enabled this growth.

Dwai Lahiri explains how to leverage private cloud infrastructure to successfully build Hadoop clusters and outlines dos, don'ts, and gotchas for running Hadoop on private clouds.