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25:32

Validation Methodology of Large Unstructured Unsupervised Learning Systems

Posted by Lawrence Chernin  on  Nov 26, 2016 Posted by Lawrence Chernin  on  Nov 26, 2016

Lawrence Chernin describes best practices and validation methods used to deal with large unstructured data, including a suite of unit tests covering the implementations of algorithmic equations.

34:47

How Predictive Analytics Boosts the Customer Experience at the Georgia Aquarium

Posted by Beach Clark  on  Nov 20, 2016 Posted by Beach Clark  on  Nov 20, 2016

Beach Clark talks about the technological and cultural challenges of turning data science into a vital part of the business model at Georgia Aquarium.

43:27

Overview of Artificial Intelligence and Its Use in Analyzing “Voice of Cancer Patients”

Posted by Alok Aggarwal  on  Nov 20, 2016 Posted by Alok Aggarwal  on  Nov 20, 2016

Alok Aggarwal overviews Artificial Intelligence and discusses a use case, “Voice of Cancer Patients” that uses ML and NLP algorithms to analyze unstructured text written by cancer patients.

28:39

Leadership Election with Spring Cloud Cluster

Posted by Dave Syer  on  Nov 15, 2016 Posted by Dave Syer  on  Nov 15, 2016

Dave Syer shows how Spring Cloud Cluster provides a simple abstraction for leader election and how it is implemented using Zookeeper, Hazelcast and etc.

01:18:01

Solving Business Problems with Data Science

Posted by Thomas Levi  on  Nov 13, 2016 Posted by Thomas Levi Ali Jalali Alok Agarwal Todd Townsend KRS Murthy  on  Nov 13, 2016

The panelists discuss how Data Science can help solve various problems for business.

31:48

Get Off the Bus, Gus: 50 Ways to Leave Your Mainframe

Posted by Rohit Kelapure  on  Oct 28, 2016 Posted by Rohit Kelapure  on  Oct 28, 2016

Rohit Kelapure provides guidance and best practices in migrating monolithic mainframe apps and data including JCLs wrapped in CICS and IMS using Spring components like Spring Data Flow, Cloud, Batch.

41:39

Hydrator: Open Source, Code-Free Data Pipelines

Posted by Jonathan Gray  on  Oct 23, 2016 Posted by Jonathan Gray  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 Ali Jalali  on  Oct 16, 2016 Posted by Ali Jalali  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 Amar Sharma  on  Oct 05, 2016 Posted by Amar Sharma  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 John Billings  on  Sep 30, 2016 Posted by John Billings  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 Casey West  on  Sep 22, 2016 Posted by Casey West  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 Sameer Farooqui  on  Aug 23, 2016 Posted by Sameer Farooqui  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.

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