Location: Grand Ballroom H
Tuesday, April 2, 2013, 9:00 AM-12:15 PM
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:
- Why Big Data, how is it useful and what can it do for you?
- SQL and NoSQL -- What's the difference, what are the pros and cons, how do you move from one to the other?
- NoSQL technologies such as HBase/HDFS, BigTable, MongoDB, S3, Redis, Cassandra, Hadoop, Pig, Hive, Flume and more
- Practical steps to keep your Big Data systems reliable
Who Should Attend:
- IT professionals who want to get up to speed on Big Data quickly
- Analysts and writers seeking a solid foundation in Big Data technology
- Managers who want to increase their bottom line using Big Data.
- Data warehouse and BI professionals who want to know how Big Data tools like Hadoop fit into their toolbox
- Developers whose applications and aspirations are stymied by the limitations of traditional storage and processing
- Architects designing large-scale, real-time applications
- IT executives involved in governance, compliance, and creating organizations that run on data
