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48:46

How 30 Years of Ticket Transaction Data Helps you Discover New Shows!

Posted by Vaclav Petricek  on  Aug 19, 2015

Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.

45:01

Taking the Pain out of Real-time Mobile Back-end Development

Posted by Mandy Waite  on  Aug 15, 2015

Mandy Waite shows how to get started with Firebase before walking through a live demo of building a multi-user, collaborative mobile app that provides real-time updates to its users.

50:45

Java 8 in Anger

Posted by Trisha Gee  on  Aug 09, 2015 2

Trisha Gee uses Java 8 streams and lambdas to build an app consuming a real-time feed of high velocity data, using services to make sense of the data, and presenting it in a JavaFX dashboard.

36:35

Mini-talks: Deterministic Testing, Typesafe Config, Spreads v Probe, & Real-Time Event-Driven

Posted by A. Falck, M. Rezaei, E. Pederson, B. Brodie  on  Jul 31, 2015

Small sessions on: Deterministic testing in a non-deterministic world. Hash Spreads and Probe Functions. Typesafe Config on Steroids. Real-Time Distributed Event-Driven Computing at Credit Suisse.

48:50

Scaling Uber's Real-time Market Platform

Posted by Matt Ranney  on  Jul 14, 2015

Matt Ranney explains the Uber architecture overall, with a focus on the dispatch systems, the geospatial index, handling failure, and dealing with the distributed traveling salesman problem.

01:09:10

IoT Realized - The Connected Car

Posted by Derek Beauregard,Phil Berman,Michael Minella,Darrel Sharpe  on  Mar 14, 2015

This session explores the power of Spring XD in the context of the Internet of Things (IoT).

35:16

Better Together - Using Spark and Redshift to Combine Your Data with Public Datasets

Posted by Eugene Mandel  on  Mar 12, 2015

Eugene Mandel discusses challenges of conforming data sources and compares processing stacks: Hadoop+Redshift vs Spark, showing how the technology drives the way the problem is modeled.

51:34

Scalability Lessons from eBay, Google, and Real-time Games

Posted by Randy Shoup  on  Feb 25, 2015

Randy Shoup tells war stories from Google and eBay focusing on how to scale code, infrastructure, performance, and operations, along with hard-won lessons learned in scaling them.

01:03:55

Scalable Big Data Stream Processing with Storm and Groovy

Posted by Eugene Dvorkin  on  Jan 18, 2015

Eugene Dvorkin provides an introduction to Storm framework, explains how to build real-time applications on top of Storm with Groovy, how to process data from Twitter in real-time, etc.

53:49

Applications of Enterprise Integration Patterns to Near Real-Time Radar Data Processing

Posted by Garrett Wampole  on  Dec 28, 2014

Garrett Wampole describes an experimental methodology of applying Enterprise Integration Patterns to the near real-time processing of surveillance radar data, developed by MITRE.

49:40

Samza in LinkedIn: How LinkedIn Processes Billions of Events Everyday in Real-time

Posted by Neha Narkhede  on  Dec 05, 2014

Neha Narkhede of Kafka fame shares the experience of building LinkedIn's powerful and efficient data pipeline infrastructure around Apache Kafka and Samza to process billions of events every day.

43:53

My Mobile App Only Works on My Phone? How to Scale Enterprise Mobile Apps

Posted by Cassandra Shum,Maria Gomez  on  Oct 05, 2014

The authors discuss patterns and technologies needed to scale large enterprise mobile systems, covering handling network connectivity, data reliability and real-time communication.

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