Reliability Architect, Netflix
Jeremy is currently the Lead Site Reliability Engineer for Netflix, the largest subscription video streaming site in the world. Previously he was the Information Cowboy (aka. Head of Technology) for reddit.com, an online community for sharing and discussing interesting things on the internet that did more than a billion pageviews a month. reddit was an Alexa Top 100 website whose entire operations are run on Amazon’s EC2. Jeremy has spent 15 years in technology: 4 in operations, 3 in security, 4 in consulting, and 4 in academic computing. When working for Sendmail, he helped administer the most bleeding edge Sendmail server on the internet; at eBay he helped protect people from phishing and scams, created patent-pending fraud detection software, and evaluated hardware for the eBay platform; and at UC Berkeley, he wired up large portions of the dorms for internet, back before every college student in America had a net drop in their room. Jeremy has keynoted at conferences such as PyCon and Cloud Connect. He holds a Cognitive Science degree from UC Berkeley.
Every year, humanity generates more information than before. We're only now learning how to harness it, putting powerful new processing architectures to work to glean insights from the petabytes of data we have on customers, markets, competitors, and employees. For IT this means two things: a new role as the go-to analyst in charge of crunching this information, and a new set of architectures that can store and crunch all of the information while staying within the law.
Data is going to be your biggest issue to deal with in the coming years. It's what needs to be replicated to stay running. It's what leaks when there's a security breach. It's what costs money to move around. And it's the cause of latency and usability issues. Compared to data, computing is easy. As computing becomes a commodity in an era of clouds, we need to understand what it means to live in a Big Data world. Big Data encompasses a wide variety of concepts and technologies, but in the end it doesn't really matter. What matters is what you do with your data, and we'll show you how to leverage your data to help your business.
We'll look at tools like Hadoop, Cassandra, Mongo, and Riak, as well as blended architectures that put Big Data alongside traditional Business Intelligence, helping business to get answers faster, scale better, and transition to a data-driven organization. We'll show you how to analyze your data more quickly, how to use that speed to spot upcoming trends, and how to prevent problems before they become problems. And we’ll look at use cases that show how companies are getting an edge in their markets through Big Data approaches.
In this workshop attendees will learn: