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37:10
Data Science Follow 379 Followers

Extreme Programming Meets Real-time Data

Posted by Tom Johnson  on  Apr 11, 2017 Posted by Tom Johnson Follow 1 Followers , Gel Goldsby Follow 0 Followers  on  Apr 11, 2017

Tom Johnson and Gel Goldsby talk about scaling problems they encountered at Unruly, and where extreme programming values led them.

59:07
Data Science Follow 379 Followers

Exploring Wikipedia with Apache Spark: A Live Coding Demo

Posted by Sameer Farooqui  on  Aug 23, 2016 Posted by Sameer Farooqui Follow 0 Followers  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.

47:25
Data Science Follow 379 Followers

Real-time Stream Computing & Analytics @Uber

Posted by Sudhir Tonse  on  Apr 09, 2016 Posted by Sudhir Tonse Follow 0 Followers  on  Apr 09, 2016

Sudhir Tonse discusses using stream processing at Uber: indexing and querying of geospatial data, aggregation and computing of streaming data, extracting patterns, TimeSeries analyses and predictions.

01:30:26
Data Science Follow 379 Followers

Developing Real-time Data Pipelines with Apache Kafka

Posted by Joe Stein  on  Mar 04, 2016 Posted by Joe Stein Follow 0 Followers  on  Mar 04, 2016

Joe Stein makes an introduction for developers about why and how to use Apache Kafka. Apache Kafka is a publish-subscribe messaging system rethought of as a distributed commit log.

44:41
Big Data Follow 43 Followers

Pulsar: Real-time Analytics at Scale

Posted by Sharad Murthy  on  Sep 13, 2015 Posted by Sharad Murthy Follow 0 Followers , Tony Ng Follow 0 Followers  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.

47:29
Enterprise Architecture Follow 74 Followers

Machine Learning and IoT

Posted by Ajit Jaokar  on  Aug 29, 2015 Posted by Ajit Jaokar Follow 0 Followers  on  Aug 29, 2015

Ajit Jaokar discusses data science and IoT: sensor data, real-time processing, cognitive computing, integration of IoT analytics with hardware, IoT’s impact on healthcare, automotive, wearables, etc.

48:46
Followers

How 30 Years of Ticket Transaction Data Helps you Discover New Shows!

Posted by Vaclav Petricek  on  Aug 19, 2015 Posted by Vaclav Petricek Follow 0 Followers  on  Aug 19, 2015

Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.

50:45
Followers

Java 8 in Anger

Posted by Trisha Gee  on  Aug 09, 2015 1 Posted by Trisha Gee Follow 0 Followers  on  Aug 09, 2015 1

Trisha Gee uses Java 8 streams and lambdas to build an app consuming a real-time feed of high velocity data, using services to make sense of the data, and presenting it in a JavaFX dashboard.

01:09:10
Followers

IoT Realized - The Connected Car

Posted by Derek Beauregard  on  Mar 14, 2015 Posted by Derek Beauregard Follow 0 Followers , Phil Berman Follow 0 Followers , Michael Minella Follow 0 Followers , Darrel Sharpe Follow 0 Followers  on  Mar 14, 2015

This session explores the power of Spring XD in the context of the Internet of Things (IoT).

35:16
Data Science Follow 379 Followers

Better Together - Using Spark and Redshift to Combine Your Data with Public Datasets

Posted by Eugene Mandel  on  Mar 12, 2015 Posted by Eugene Mandel Follow 0 Followers  on  Mar 12, 2015

Eugene Mandel discusses challenges of conforming data sources and compares processing stacks: Hadoop+Redshift vs Spark, showing how the technology drives the way the problem is modeled.

53:49
Followers

Applications of Enterprise Integration Patterns to Near Real-Time Radar Data Processing

Posted by Garrett Wampole  on  Dec 28, 2014 Posted by Garrett Wampole Follow 0 Followers  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.

43:05
Followers

Design Patterns for Large-Scale Real-Time Learning

Posted by Sean Owen  on  Apr 15, 2014 Posted by Sean Owen Follow 0 Followers  on  Apr 15, 2014

Sean Owen provides examples of operational analytics projects, presenting a reference architecture and algorithm design choices for a successful implementation based on his experience Oryx/Cloudera.

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