1:40pm–2:20pm Wednesday, 07/21/2010
Jaspersoft’s open source business intelligence is the world’s most widely used BI software, with more than 11 million product downloads worldwide and more than 12,000 commercial customers in 100 countries. Jaspersoft provides a first in class multi-tenant BI environment while providing a common platform for on-premise, virtualized, SaaS and Cloud deployments.
11:50am–12:30pm Friday, 07/23/2010
The ongoing nationwide adoption of EMR presents enormous new opportunities and challenges for collecting, analyzing and reporting data for patient outcome improvement, cost control, and efficiency in care. We'll take a look at a number of open tools available and techniques to apply them to healthcare data including neural nets, data visualization and statistical modeling.
2:30pm–3:10pm Thursday, 07/22/2010
How does Twitter analyze its massive dataset? What tools do we use, and where do we focus our analysis?
In this talk, I will discuss our transition from a MySQL-based to a Hadoop-based data infrastructure and our use of Pig (a scripting language built on top of Hadoop) to democratize big-data analysis across the company. I will present concrete examples of interesting analyses at each step.
9:30am–9:45am Thursday, 07/22/2010
The cloud is all about more connectivity – and interoperability is at the heart of that. Organizations around the world are looking at opportunities to leverage a new wave of cloud technologies. New data sets. New computing power.
1:40pm–2:20pm Thursday, 07/22/2010
Like panning for gold, intelligently analyzing your data is a four-step process: Prospecting, Mining, Extracting, and Refining. In this presentation, you’ll learn how to uncover insights that elude simple search, find hidden connections in your data, spot potential issues sooner, and discover new ways to create value for your community and your organization – easily and efficiently.
11:30am–12:10pm Thursday, 07/22/2010
OCSON attendees are intimately familiar with the decisions surrounding software licensing: copyleft, attribution, and non-endorsement all mean something when discussing source licenses. With the rise of data as an asset, developers are turning their attention to data, often with the assumption that the same ideas apply. This talk will discuss why that's not the case and what to do about it.