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53:18

Fault-Tolerant Sensor Nodes with Erlang/OTP and Arduino

Posted by Kenji Rikitake  on  Jun 25, 2016

Kenji Rikitake discusses using Erlang/OTP for IoT, covering communication protocols, design principles and overcoming hardware limitations for endpoint devices in fault-tolerant systems.

37:06

Predicting the Future: Surprising Revelations trom Truly Big Data

Posted by Pushpraj Shukla  on  May 24, 2016

Pushpraj Shukla discusses how Microsoft Bing predicts the future based on aggregate human behavior using one of the largest scale data sets, and recent progress in large scale deep learnt models.

51:47

Much Faster Networking

Posted by David Riddoch  on  May 21, 2016

David Riddoch talks about the technologies that make high performance networking possible on commodity servers, with a special focus on direct access to the network adapter by bypassing the kernel.

40:32

Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year

Posted by Peter Bakas  on  May 19, 2016

Peter Bakas presents in detail how Netflix has used Kafka, Samza, Docker, and Linux to implement a multi-tenant pipeline processing 700B events/day in the Amazon AWS cloud.

41:26

Hunting Criminals with Hybrid Analytics

Posted by David Talby  on  May 10, 2016

David Talby demos using Python libraries to build a ML model for fraud detection, scaling it up to billions of events using Spark, and what it took to make the system perform and ready for production.

47:42

Resilient Predictive Data Pipelines

Posted by Sid Anand  on  May 06, 2016

Sid Anand discusses how Agari is applying big data best practices to the problem of securing its customers from email-born threats, presenting a system that leverages big data in the cloud.

35:44

Big-Data Analytics Misconceptions

Posted by Irad Ben-Gal  on  May 03, 2016

Irad Ben-Gal discusses Big Data analytics misconceptions, presenting a technology predicting consumer behavior patterns that can be translated into wins, revenue gains, and localized assortments.

39:15

How Comcast Uses Data Science and ML to Improve the Customer Experience

Posted by Jan Neumann  on  May 01, 2016 1

Jan Neumann presents how Comcast uses machine learning and big data processing to facilitate search for users, for capacity planning, and predictive caching.

50:50

Immutable Infrastructure: Rise of the Machine Images

Posted by Axel Fontaine  on  Apr 24, 2016 2

Axel Fontaine looks at what Immutable Infrastructure is and how it affects scaling, logging, sessions, configuration, service discovery and more.

36:19

The Mechanics of Testing Large Data Pipelines

Posted by Mathieu Bastian  on  Apr 24, 2016

Mathieu Bastian explores the mechanics of unit, integration, data and performance testing for large, complex data workflows, along with the tools for Hadoop, Pig and Spark.

56:38

How to Have Your Causality and Wall Clocks Too

Posted by Jon Moore  on  Apr 10, 2016

Jon Moore talks about distributed monotonic clocks (DMC) whose timestamps can reflect causality but which have a component that stays close to wall clock time.

38:27

Stream Processing with Apache Flink

Posted by Robert Metzger  on  Apr 07, 2016

Robert Metzger provides an overview of the Apache Flink internals and its streaming-first philosophy, as well as the programming APIs.

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