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59:07

Exploring Wikipedia with Apache Spark: A Live Coding Demo

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.

36:16

Papyrus for Real Time: Executable Modeling on Eclipse

Posted by Charles Rivet  on  Jul 07, 2016

Charles Rivet introduces Papyrus RT, an industrial-grade modeling environment for the development of complex, software intensive, real-time, embedded, cyber-physical systems.

48:01

Microservices for a Streaming World

Posted by Ben Stopford  on  May 01, 2016 2

Ben Stopford discusses using stream processing tools for real-time business apps, handling infinite streams, leveraging high throughput, deploying dynamic, fault-tolerant, and streaming services.

47:32

Understanding Real-time Conversations on Facebook

Posted by Janet Wiener  on  Apr 17, 2016

Janet Wiener discusses using a data pipeline and graphic visualizations to extract and analyze the Chorus – the aggregated, anonymized voice of the people communicating on Facebook - in real time.

47:25

Real-time Stream Computing & Analytics @Uber

Posted by Sudhir Tonse  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.

42:23

Real-Time Fraud Detection with Graphs

Posted by Jim Webber  on  Mar 29, 2016

Jim Webber talks about several kinds of fraud common in financial services and how each decomposes into a straightforward graph use-case. He explores them using Neo4j and Cypher query language.

01:30:26

Developing Real-time Data Pipelines with Apache Kafka

Posted by Joe Stein  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.

42:52

A Little Non-chat About SignalR

Posted by Craig Berntson  on  Oct 21, 2015

Craig Berntson shows code samples for real world uses of SignalR: thermometers, alerts, non-web applications and others.

52:36

Elements of Scale

Posted by Ben Stopford  on  Oct 07, 2015

Ben Stopford examines tools, mechanisms and tradeoffs that allow a data architecture to scale, from disk formats to fully blown architectures for real-time storage, streaming and batch processing.

44:41

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.

47:29

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.

48:46

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.

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