As the Open Source software movement continues the strengthen, questions abound about where the opportunities to create commercially viable solutions. Red Hat did it with Linux. Can Cloudera do it with Hadoop? Read this GigaOm article.
Jul 09
The guys from Cloudera put together the following executive overview of what Hadoop can do for big data.
Hadoop and Big Data 1: Challenging Old Assumptions from Cloudera on Vimeo.
May 20
Cloudera put together this list of 10 MapReduce tips.
You might also want to check out their list of 5 common Hadoop questions.
May 02
Cloudera founder, Jeff Hammerbacher, has a new data book available – Beautiful Data: The Stories Behind Elegant Data Solutions
Apr 25
Cloudera’s online Hadoop training videos now include two sessions for Apache Pig thanks to some help from Alan Gates at Yahoo.
Mar 17
Cloudera anounced that they have recently raised $5M in a series A round of funding. Here’s the Techcrunch article. The NY Times blog post also featured Cloudera and their commercialization of the Hadoop open source file system. And here’s the full NY Times story.
Mar 14
Here are a couple event reminders from the Cloudera website.
Web 2.0 Expo 2009
Scaling with Your Data: An Introduction to Hadoop
March 31, 1:00 PM, 2009, San Francsico , California
Cloudera will provide a tutorial aimed at producers and users of large volumes of data. Do you deal with TBs on a regular basis? Are traditional databases not doing what you need? Are your challenges related primarily to processing and analyzing data, rather than simply finding it? Hadoop and MapReduce might be just what you need.
Use the following discount code for 35% off admission: websf09spr35
MySQL Conference & Expo 2009
MapReduce + SQL Using Open Source Software and Tools
April 20, 1:30 PM, 2009, Santa Clara , California
Cloudera will host a tutorial on using Hadoop with MySQL. We will go over how to combine MapReduce and SQL to perform more in depth analysis on your data. Participants will learn how to use Hadoop to extract data from MySQL (and other sources), perform arbitrarily complex analysis with MapReduce, and load the results back into MySQL so they are available to existing systems.
Use the following discount code for 20% off admission: mys09fsp
