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47:29
Enterprise Architecture Follow 23 Followers

Machine Learning and IoT

Posted by Ajit Jaokar  on  Aug 29, 2015 Posted by Ajit Jaokar Follow 0 Followers  on  Aug 29, 2015

Ajit Jaokar discusses data science and IoT: sensor data, real-time processing, cognitive computing, integration of IoT analytics with hardware, IoT’s impact on healthcare, automotive, wearables, etc.

48:46
Followers

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

Posted by Vaclav Petricek  on  Aug 19, 2015 Posted by Vaclav Petricek Follow 0 Followers  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
Followers

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

Posted by Mandy Waite  on  Aug 15, 2015 Posted by Mandy Waite Follow 0 Followers  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
Followers

Java 8 in Anger

Posted by Trisha Gee  on  Aug 09, 2015 1 Posted by Trisha Gee Follow 3 Followers  on  Aug 09, 2015 1

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
Followers

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

Posted by A. Falck  on  Jul 31, 2015 Posted by A. Falck Follow 0 Followers , M. Rezaei Follow 0 Followers , E. Pederson Follow 0 Followers , B. Brodie Follow 0 Followers  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
Followers

Scaling Uber's Real-time Market Platform

Posted by Matt Ranney  on  Jul 14, 2015 Posted by Matt Ranney Follow 0 Followers  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
Followers

IoT Realized - The Connected Car

Posted by Derek Beauregard  on  Mar 14, 2015 Posted by Derek Beauregard Follow 0 Followers , Phil Berman Follow 0 Followers , Michael Minella Follow 0 Followers , Darrel Sharpe Follow 0 Followers  on  Mar 14, 2015

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

35:16
Data Science Follow 125 Followers

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

Posted by Eugene Mandel  on  Mar 12, 2015 Posted by Eugene Mandel Follow 0 Followers  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
Followers

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

Posted by Randy Shoup  on  Feb 25, 2015 Posted by Randy Shoup Follow 1 Followers  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
Followers

Scalable Big Data Stream Processing with Storm and Groovy

Posted by Eugene Dvorkin  on  Jan 18, 2015 Posted by Eugene Dvorkin Follow 0 Followers  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
Followers

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

Posted by Garrett Wampole  on  Dec 28, 2014 Posted by Garrett Wampole Follow 0 Followers  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
Followers

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

Posted by Neha Narkhede  on  Dec 05, 2014 Posted by Neha Narkhede Follow 1 Followers  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.

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