Logging infrastructures have traditionally been centered around building human readable logging, but as systems have grown, the volume of log data is impractical for a human to consume.
Federation lets you have your data and share it too. Learn how you can use this new wiki to provide or consume open data in an environment architected to make this safe and easy.
Data systems have struggled to keep up with the rapid growth of application data. As a result, many have turned to sharding their data as a solution. These new complex systems or "data clouds" present a new array of challenges. In this session we'll discuss best practices around monitoring and managing your data cloud.
by Gil Elbaz
Hiding data in a siilo no longer needs to be the status quo. Indeed, this presentation argues that it shouldn’t be. In this presentation, Gil Elbaz will discuss the detriments of hiding data and the relationship between data accessibility and innovation.
by Shevek .
Compilers don't just turn C into binary, they transform data, and the optimizer is a critical decision-maker in the process. If we understand both, we can often solve tedious data transformation, scheduling or logic problems with very little effort. This presentation will teach you the magic, and convey a wealth of experience. Attendees have been known to subsequently write compilers.
by Charles Bell
Building sensor networks, while challenging, can be a data rich endeavor. But what do you do with all of the data you collect? How do you store and make sense of the results? Where do you store the information? This session explores the options available and demonstrates how to store the data in a database system for easy retrieval.
The Geospatial Web has grown from a niche of government and expensive commercial vendors to a broad and open ecosystem of data, tools, and formats that are easily accessible by anyone to analyze, visualize, and even update. This talk will cover the tools and capabilities of open geospatial tools as well as technical side of open geospatial formats and great sources of open geodata.