Looks like this event has already ended.
Check out upcoming events by this organizer, or organize your very own event.
Chicago Data Summit · Learn about Apache Hadoop
Tuesday, April 26, 2011 from 1:00 PM to 6:30 PM (CDT)
Register now to reserve your place.
Chicago is ripe with innovative companies on the leading edge of data management. Join your colleagues and Cloudera for this half day event where you will learn the best practices around using Apache Hadoop.
Below is the event agenda, further detail available here.
If you've registered for a Chicago based Cloudera training session in April or May, you will automatically be registered for this event and you will receive a confirmation email shortly. (No refunds can be given for this event if you register for training sessions after April 26th.)
|1:00pm - 1:45pm||Registration|
|1:45pm - 2:40pm||
Data Processing with Hadoop: Scalable & Cost-effective
Doug Cutting, Apache Hadoop Co-founder
|2:45pm - 3:30pm||
Extending the Enterprise Data Warehouse with Hadoop
Jonathan Siedman, Orbitz
Robert Lancaster, Orbitz
Apache HBase: An Introduction
Todd Lipcon, Cloudera
|3:30pm - 3:45pm||Break|
|3:45pm - 4:30pm||
Geo-based Content Processing Using HBase
Ravi Veeramachaneni, NAVTEQ
Apache Flume: An Introduction
Jonathan Hsieh, Cloudera
|4:35pm - 5:15pm||
Cloudera's Distribution including Apache Hadoop & Cloudera Enterprise
Charles Zedlewski, VP Product, Cloudera
|5:15pm - 6:30pm||Networking Reception|
When & Where
Cloudera (www.cloudera.com) is the leading provider of Apache Hadoop-based software and services and works with customers in financial services, web, telecommunications, government and others industries.
The company’s products, Cloudera Enterprise and Cloudera’s Distribution including Apache Hadoop (CDH), help organizations profit from all of their information. CDH is the most comprehensive Apache Hadoop-based platform in the industry. Cloudera Enterprise is the most cost-effective way to perform large-scale data storage and analysis and includes the tools, platform and support necessary to use Hadoop in a production environment.