Hadoop Summit 2009
Wednesday, June 10, 2009 from 8:00 AM to 9:00 PM (PDT)
Santa Clara, CA
Join us for Yahoo!’s second annual Hadoop Summit on June 10, 2009, at the Santa Clara Marriott in Santa Clara, CA, USA.
This day-long event includes participants from Yahoo!’s Hadoop team, Amazon, Cloudera, Facebook, HP, IBM, Sun, and leading universities, and brings together leaders from the Hadoop developer and user communities.
Speakers will cover a rich variety of topics including the current state of Hadoop development and deployment, Amazon's Elastic MapReduce on-demand Hadoop cluster, PIG, Hive, Chukwa, and energy-efficiency with Hadoop. Space is limited and registration is required to attend.
Note: you must register using this site. There will be no walk-up registration at the event location. Please purchase your ticket now to secure your seat.
Students are eligible for a discount using the code "academic_90" for a limited time. Those who register using this discount code must provide the following information in the registration form:
- the student's valid .edu email address in the "Email Address" field
- the student's school name in the "Company/Organization" field
Yahoo! reserves the right to cancel without refund any registration using the "academic_90" discount code without providing this information.
On the day following the Summit, Cloudera and Yahoo! will be hosting an all-day training. Space is limited to 120. Please register now if you would like to attend
For more information about the Summit, including the day’s agenda, please visit to Summit's information page on the Yahoo! Developer Network. Please use the tag "hadoopsummit09" in your tweets, posts, and photos.
When & Where
Yahoo!'s support of Hadoop extends back to 2004. Yahoo! started with a 20-node cluster in March 2006, and has since continued to invest in Hadoop development. In June 2009, Yahoo! released the Yahoo! Distribution of Hadoop, which is running globally across the Yahoo! network. Yahoo! is the leading contributor to Hadoop and runs the world’s largest Hadoop implementation consisting of 25,000+ nodes.