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Reporting and the First Law of Holes

Posted by Sebastian von Conrad  on  Sep 29, 2015

Sebastian von Conrad advises on reporting: capturing the right data at the right time, best practices and cleaning up reporting debts in code bases.


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.


Exploratory Data Analysis with R

Posted by Matthew Renze  on  Sep 13, 2015 1

Matthew Renze introduces the R programming language and demonstrates how R can be used for exploratory data analysis.


Interactive Analytics at Scale with Druid

Posted by Julien Lavigne  on  Aug 14, 2015

Julien Lavigne du Cadet discusses how Criteo uses Druid: an open-source, real-time data store designed to power interactive applications at scale, covering Druid's architecture and internals.


Product thru the Looking Glass

Posted by Chris Matts  on  Jul 05, 2015

Chris Matts discusses how to manage product mastery, how do we decide whether to use analysis or product management techniques, and what does an end-to-end process looks like.


The SenseMaker® Method

Posted by Tony Quinlan  on  Jun 28, 2015

Tony Quinlan introduces the SenseMaker® method from preparing the ground through gathering experiences and qualitative material to analysis and action planning.


The Deep Learning Revolution: Rethinking Machine Learning Pipelines

Posted by Soumith Chintala  on  Jun 05, 2015

Soumith Chintala introduces deep learning, what it is, why it has become popular, and how it can be fitted into existing machine learning solutions.


A Taste of Random Decision Forests on Apache Spark

Posted by Sean Owen  on  Apr 28, 2015

Sean Owen introduces Spark, Scala and random decision forests, and demonstrates the process of analyzing a real-world data set with them.


Analyzing Social Networks with F#

Posted by Evelina Gabasova  on  Apr 22, 2015

Evelina Gabasova explains how to run a social network analysis on Twitter and how to use data science tools to find out more about followers.


Customer Insight, from Data to Information

Posted by Thore Thomassen  on  Mar 27, 2015

Thore Thomassen shares from experience how to combine structured data in a DWH with unstructured data in NoSQL, and using parallel data warehouse appliances to boost the analytical capabilities.


Become a Data-driven Organization with Machine Learning

Posted by Peter Harrington  on  Mar 08, 2015

Peter Harrington explains what you do with machine learning, and what are the building blocks for an application that uses machine learning from collected data to creating predictions for customers.


Phosphor: Illuminating Dynamic Data Flow in Commodity JVMs

Posted by Jonathan Bell, Gail Kaiser  on  Feb 11, 2015

Jonathan Bell & Gail Kaiser introduce Phosphor, a dynamic taint tracking system for the JVM, describing the approach used to achieve portable taint tracking.

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