BT
x Share your thoughts on trends and content!
Older Newer rss
41:39

Hydrator: Open Source, Code-Free Data Pipelines

Posted by  on  Oct 23, 2016

Jonathan Gray introduces Hydrator, an open source framework and user interface for creating data lakes for building and managing data pipelines on Spark, MapReduce, Spark Streaming and Tigon.

38:53

Developing a Machine Learning Based Predictive Analytics Engine for Big Data Analytics

Posted by  on  Oct 16, 2016

Ali Jalali presents how to develop a machine learning predictive analytics engine for big data analytics.

31:50

NBCU Develops the Critical Need for Technical Agility in Media and Entertainment

Posted by  on  Oct 05, 2016

Amar Sharma talks about NBC Universal Microservices infrastructure and how the new way they approach software development has equipped them to make better decisions about product investment.

48:05

The Human Side of Microservices

Posted by  on  Sep 30, 2016

John Billings talks about winning over those skeptical about the benefits of microservices along with tips on caching, failure, interface changes, etc. for building a distributed system architecture.

30:42

The Five Stages of Cloud Native

Posted by  on  Sep 22, 2016

Casey West talks about anti-patterns and corresponding best practices based on his experience building application infrastructure and platforms, as well as the applications which are deployed to them.

59:07

Exploring Wikipedia with Apache Spark: A Live Coding Demo

Posted by  on  Aug 23, 2016

Sameer Farooqui demos connecting to the live stream of Wikipedia edits, building a dashboard showing what’s happening with Wikipedia datasets and how people are using them in real time.

42:50

Applying Big Data

Posted by  on  Aug 07, 2016

Graeme Seaton discusses the drivers behind Big Data initiatives and how to approach them using the vast amounts of data available.

33:35

Apache Beam: The Case for Unifying Streaming APIs

Posted by  on  Jul 30, 2016

Andrew Psaltis talks about Apache Beam, which aims to provide a unified stream processing model for defining and executing complex data processing, data ingestion and integration workflows.

32:33

Business Process Orchestration & APIs

Posted by  on  Jul 26, 2016

Saul Caganoff discusses the different use cases for API consumption and the technical affordances API designers can provide to support those use cases.

44:51

Is Mesos DC/OS a Better Way to Run Docker on AWS?

Posted by  on  Jul 24, 2016

Chien Huey evaluates Marathon running on DC/OS as a replacement for Elastic Beanstalk and/or ECS in terms of functionality, ease of use as well as cost.

47:56

Implementing Infrastructure as Code

Posted by  on  Jul 24, 2016

Kief Morris discusses building and maintaining a testing and hosting infrastructure for microservices, explaining the creation of a cloud-based infrastructure with Packer, Terraform, and Ansible.

45:33

Effortless Eventual Consistency with Weave Mesh

Posted by  on  Jul 23, 2016

Peter Bourgon and Matthias Radestock explain the theory behind Weave Mesh, some of the important key features, and demonstrate some exciting use cases, like distributed caching and state replication.

General Feedback
Bugs
Advertising
Editorial
Marketing
InfoQ.com and all content copyright © 2006-2016 C4Media Inc. InfoQ.com hosted at Contegix, the best ISP we've ever worked with.
Privacy policy
BT

We notice you're using an ad blocker

We understand why you use ad blockers. However to keep InfoQ free we need your support. InfoQ will not provide your data to third parties without individual opt-in consent. We only work with advertisers relevant to our readers. Please consider whitelisting us.