Personal schedule for Edward Snajder

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Data
Location: Portland 255
Ray DiGiacomo, Jr. (Lion Data Systems, LLC)
Average rating: **...
(2.32, 53 ratings)
This workshop will provide the attendee an introduction to R, an open-source statistical computing environment that some say is even more powerful and flexible than SAS and SPSS. Additionally, the session will also provide an introduction to predictive analytics theory and R's ability to apply predictive analytics theory to real-world situations. Read more.
Data
Location: D137/138
Michael Hunger (Neo Technology)
Average rating: ****.
(4.08, 12 ratings)
This tutorial covers the core functionality of the Neo4j graph database. With a mixture of theory and hands-on practice sessions, attendees will quickly learn how easy it is to develop a Neo4j-backed application. Read more.
Open Hardware
Location: D135
Edward Snajder (Jive Software)
Average rating: ****.
(4.67, 3 ratings)
RepRap 3D printing is the concept of making printers that are made from printed parts. I’ll show off my Open Source Huxley model, built from a kit, and discuss the joy and tears associated with building a printer from parts. We'll discuss the hardware, software, where things are now and how bright the future is for 3D printing. Read more.
Open Hardware
Location: D135
Ruth Suehle (Red Hat), Tom "spot" Callaway (Red Hat)
Average rating: ****.
(4.12, 17 ratings)
Tom Callaway and Ruth Suehle, authors of Raspberry Pi Hacks (O'Reilly, expected spring 2013) will share hints and tips for hackers ready to bring their ideas to life with the Raspberry Pi, They'll cover the important basics of doing tricks with your Pi and go on to talk about a few fun projects, from game emulators to cameras in the sky. Read more.
Data
Location: Portland 256
Jesse Anderson (Cloudera)
Average rating: ***..
(3.50, 20 ratings)
Gaining insight on data is even more interesting when it comes from the NFL. See how I take play by play data, combine it with other datasets and gain insight from the data. Read more.
Data
Location: Portland 256
Mark Grover (Cloudera)
Average rating: ****.
(4.64, 11 ratings)
If you have ever wanted to dabble with Apache Hadoop, Hive, HBase or other projects in the Hadoop ecosystem but have been discouraged by the painful process of installation and configuration of these projects, this talk is for you. We will learn how to install Hadoop, Hive and HBase on a cluster by making use of various packages from Apache Bigtop. Read more.
Data
Location: Portland 256
Russell Branca (Cloudant)
Average rating: ***..
(3.10, 10 ratings)
Map Reduce has become a household name in data processing these days, but is typically used in a backend, batch oriented manner across large data sets. In this talk we'll explore pipelining data sets far too large to fit in the browser through map reduce implementations in CouchDB, server side javascript, and finally directly in the browser, allowing for large scale, yet interactive data analysis. Read more.
Geek Lifestyle, Open Hardware
Location: D135
Eric Miller (Squishymedia)
Average rating: ***..
(3.80, 5 ratings)
What's better than an office kegerator? An office kegerator that pumps out real-time data that we can use to test new technologies, learn new techniques, and build our skills creating complex distributed systems and real-time information dashboards. We'll talk to OSCON attendees about the system and how we've used it internally as a learning and testing tool. Read more.
Operations
Location: Portland Ballroom
Phil Dibowitz (Facebook)
Average rating: ****.
(4.64, 11 ratings)
This talk looks at how Facebook has redesigned its configuration management system to handle a massive, dynamic, heterogeneous environment with a tiny team and open source software. We will look at the philosophy we use to manage our systems, the implementation of that philosophy, and how you can apply these ideas to any size server footprint, from a handful of servers to a global environment. Read more.
Cloud
Location: F150
Daniel Jacobson (Netflix)
Average rating: ****.
(4.36, 11 ratings)
Netflix has seen tremendous growth in recent years, supporting 800+ device types for more than 30M streaming customers. This growth presents amazing technical challenges. At the center of it all is the Netflix Internal API, quietly handling billions of requests a day. In this session, I will discuss the challenges & solutions, including cloud development, resiliency, scaling, UI support & more. Read more.
Data
Location: Portland 256
Dimitri Fontaine (2ndQuadrant)
Average rating: **...
(2.40, 5 ratings)
Once a Top-10 internet audience site. 32 million users. Billions of photos and comments, more than 6TB of them. Migrating away from MySQL to PostgreSQL! Read more.
Python
Location: D136
Caleb Madrigal (SpiderLogic)
Average rating: ***..
(3.85, 13 ratings)
Learn about what has been called "most important numerical algorithm of our lifetime" - the Fast Fourier Transform (FFT). In this talk, you will get foundational knowledge of the Fourier Transform and learn how to use Python to extract useful information from sound clips. Read more.
Data
Location: D135
Christophe Pettus (PostgreSQL Experts, Inc.)
Average rating: ****.
(4.58, 12 ratings)
With the addition of JSON functionality, PostgreSQL can hold its trunk high when compared to non-SQL databases. We'll explore the ways you can use the non-structured-data features of PostgreSQL, how they perform... and when you shouldn't use them. Read more.

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