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Pulsar: Real-time Analytics at Scale

Posted by Sharad Murthy, Tony Ng  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.


Machine Learning and IoT

Posted by Ajit Jaokar  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.


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

Posted by Vaclav Petricek  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.


Java 8 in Anger

Posted by Trisha Gee  on  Aug 09, 2015

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.


IoT Realized - The Connected Car

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

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


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

Posted by Eugene Mandel  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.


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

Posted by Garrett Wampole  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.


Design Patterns for Large-Scale Real-Time Learning

Posted by Sean Owen  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.


From The Lab To The Factory: Building A Production Machine Learning Infrastructure

Posted by Josh Wills  on  Jan 16, 2014

Josh Wills discusses using Hadoop technologies to build real-time data analysis models with a focus on strategies for data integration, large-scale machine learning, and experimentation.


Stream Processing: Philosophy, Concepts, and Technologies

Posted by Dan Frank  on  Nov 10, 2013 1

Dan Frank discusses stream data processing and introduces NSQ – Bitly’s open source queuing system – and other new technologies used for communication between streaming programs.


High Speed Smart Data Ingest into Hadoop

Posted by Oleg Zhurakousky  on  Oct 24, 2013

Oleg Zhurakousky discusses architectural tradeoffs and alternative implementations of real-time high speed data ingest into Hadoop.


Making the Internet a Better Place: Scaling AppNexus

Posted by Mike Nolet  on  Oct 18, 2013

Mike Nolet shares lessons learned scaling AppNexus and architectural details of their system processing 30TB/day: Hadoop, DNS built in GSLB and Keepalived, and real-time data streaming built in C.

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