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01:30:26

Developing Real-time Data Pipelines with Apache Kafka

Posted by Joe Stein  on  Mar 04, 2016

Joe Stein makes an introduction for developers about why and how to use Apache Kafka. Apache Kafka is a publish-subscribe messaging system rethought of as a distributed commit log.

42:52

A Little Non-chat About SignalR

Posted by Craig Berntson  on  Oct 21, 2015

Craig Berntson shows code samples for real world uses of SignalR: thermometers, alerts, non-web applications and others.

52:36

Elements of Scale

Posted by Ben Stopford  on  Oct 07, 2015

Ben Stopford examines tools, mechanisms and tradeoffs that allow a data architecture to scale, from disk formats to fully blown architectures for real-time storage, streaming and batch processing.

44:41

Pulsar: Real-time Analytics at Scale

Posted by Sharad Murthy, Tony Ng  on  Sep 13, 2015

Sharad Murthy & Tony Ng present Pulsar, a real-time streaming system which can scale to millions of events per second with high availability and 4GL language support.

47:29

Machine Learning and IoT

Posted by Ajit Jaokar  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

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 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

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.

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