BT
Older Newer rss
01:00:09

Applying Reactive Programming to Existing Applications

Posted by Ben Christensen  on  Jul 19, 2015 1

Ben Christensen discusses the mental shift from imperative to declarative programming, working with blocking IO such as JDBC and RPC, service composition, debugging and unit testing.

42:33

Financial Modeling with Apache Spark: Calculating Value at Risk

Posted by Sandy Ryza  on  Jul 12, 2015

Sandy Ryza aims to give a feel for what it is like to approach financial modeling with modern big data tools, using the Monte Carlo method for a a basic VaR calculation with Spark.

53:05

LDAP at Lightning Speed

Posted by Howard Chu  on  Jul 05, 2015

Howard Chu covers highlights of the LMDB design and discusses some of the internal improvements in slapd due to LMDB, as well as the impact of LMDB on other projects.

50:08

Product thru the Looking Glass

Posted by Chris Matts  on  Jul 05, 2015

Chris Matts discusses how to manage product mastery, how do we decide whether to use analysis or product management techniques, and what does an end-to-end process looks like.

50:18

The SenseMaker® Method

Posted by Tony Quinlan  on  Jun 28, 2015

Tony Quinlan introduces the SenseMaker® method from preparing the ground through gathering experiences and qualitative material to analysis and action planning.

49:53

Lightning Fast Cluster Computing with Spark and Cassandra

Posted by Piotr Kołaczkowski  on  Jun 17, 2015

Piotr Kołaczkowski discusses how they integrated Spark with Cassandra, how it was done, how it works in practice and why it is better than using a Hadoop intermediate layer.

19:02

Translating Imperative Code to MapReduce

Posted by Cosmin Radoi, Rodric Rabbah, Stephen J Fink, Manu Sridharan  on  Jun 10, 2015

The authors present an approach for automatic translation of sequential, imperative code into a parallel MapReduce framework using Mold, translating Java code to run on Apache Spark.

01:00:21

The Deep Learning Revolution: Rethinking Machine Learning Pipelines

Posted by Soumith Chintala  on  Jun 05, 2015

Soumith Chintala introduces deep learning, what it is, why it has become popular, and how it can be fitted into existing machine learning solutions.

09:41

Cybertron: Pushing the Limit on I/O Reduction in Data-Parallel Programs

Posted by Tian Xiao, Jiaxing Zhang, Chencheng Ye, Wenguang Chen, Zhenyu Guo, Hucheng Zhou, Xu Zhao, Xi Wang, Wei Lin, Lidong Zhou  on  May 29, 2015

The authors introduce Cybertron, a new tool for reducing I/O operations in data-parallel programs through a constraint-based encoding.

48:15

How to Train Your Docker Cloud

Posted by Andrew Kennedy  on  May 16, 2015

Andrew Kennedy talks about the reasons for creating a Docker cloud and how Clocker was born.

41:57

Understanding Cloud, Big Data, Mobile and Security – Do They Play Nicely Together?

Posted by Colin Mower  on  May 12, 2015

Colin Mower discusses the challenges met using together Cloud, Big Data, Mobile and Security and how these can work together to achieve business value.

49:04

Beating the Traffic Jam Using Embedded Devices, OPC-UA, Akka and NoSQL

Posted by Kristoffer Dyrkorn  on  May 10, 2015

Kristoffer Dyrkorn presents the experiences gained by the Norwegian Public Roads Administration in building a new infrastructure for road traffic measurements.

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