BT
Older rss
48:32

Demystifying Stream Processing with Apache Kafka

Posted by Neha Narkhede  on  Dec 25, 2015

Neha Narkhede describes Apache Kafka and Samza: scalability and parallelism through data partitioning, fault tolerance, order guarantees, stateful processing, and stream processing primitives.

01:29:08

Stream Processing at Scale with Spring XD and Kafka

Posted by Marius Bogoevici  on  Dec 24, 2015

Marius Bogoevici demoes how to unleash the power of Kafka with Spring XD, by building a highly scalable data pipeline with RxJava and Kafka, using Spring XD as a platform.

42:23

Stream Processing in Uber

Posted by Danny Yuan  on  Dec 04, 2015

Danny Yuan discusses how Uber uses stream processing to solve a wide range of problems, including real-time aggregation and prediction on geospatial time series, and much more.

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.

53:38

Reactive Programming at Cloud-Scale and Beyond

Posted by Bart de Smet  on  Sep 10, 2015

Bart de Smet discusses how the reactive programming paradigm can be used for event stream processing and how it can be applied from small devices all the way to cloud-scale infrastructures.

42:29

Reactive Stream Processing at Netflix

Posted by Justin Becker, Neeraj Joshi  on  Sep 06, 2015

Justin Becker & Neeraj Joshi describe Mantis, discuss the challenges associated with designing for the cloud, processing billions of events, all while being cost sensitive.

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.

41:50

Mantis: Netflix's Event Stream Processing System

Posted by Danny Yuan,Justin Becker  on  Dec 04, 2014

The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.

48:46

High Throughput Stream Processing with ACID Guarantees

Posted by Terence Yim  on  Dec 04, 2014 1

Terence Yim from Continuuity showcases a transactional stream processing system that supports full ACID properties without compromising scalability and high throughput.

27:24

TSAR: How to Count Tens of Billions of Daily Events in Real Time Using Open Source Technologies

Posted by Gabriel Gonzalez  on  Nov 22, 2014 1

Gabriel Gonzalez introduces TSAR (TimeSeries AggregatoR), a service for real-time event aggregation designed to deal with tens of billions of events per day at Twitter.

44:23

Samza: Real-time Stream Processing at LinkedIn

Posted by Chris Riccomini  on  Nov 28, 2013 1

Chris Riccomini discusses: Samza's feature set, how Samza integrates with YARN and Kafka, how it's used at LinkedIn, and what's next on the roadmap.

General Feedback
Bugs
Advertising
Editorial
Marketing
InfoQ.com and all content copyright © 2006-2015 C4Media Inc. InfoQ.com hosted at Contegix, the best ISP we've ever worked with.
Privacy policy
BT