U.C. Berkeley Offers Free "Big Data" Class This Week 16
pmdubs writes "The U.C. Berkeley AMPLab research group will be hosting a free 'Big Data Bootcamp' on-campus and online, August 21 and 22. The AMP Camp will feature hands-on tutorials on big data analysis using the AMPLab software stack, including Spark, Shark, and Mesos. These tools work hand-in-hand with technologies like Hadoop to provide high performance, low latency data analysis. AMP Camp will also include high level overviews of warehouse scale computing, presentations on several big data use-cases, and talks on related projects."
Oh good (Score:3)
Now maybe some of the folks here will actually learn how Big Data methodologies work, rather than just spamming links to a strawman argument starring the word "web-scale"...
Aw, who am I kidding... this is Slashdot! A knee-jerk reaction with little forethought is not only the norm, but the mandate!
Re:Oh good (Score:5, Funny)
Unfortunately, learning how big-data methodologies work just isn't scalable.
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run a free Amazon EC2 Micro Instance for a year, while also leveraging a free usage tier for Amazon S3, Amazon Elastic Block Store, Amazon Elastic Load Balancing, and AWS data transfer. AWS’s free usage tier can be used for anything you want to run in the cloud: launch new applications, test existing applications in the cloud, or simply gain hands-on experience with AWS.
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if you can script your self then yes
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I don't think you understand. If you just make the class completely unstructured, and stop worrying about data ^h^h i mean learning being guaranteed, you can exponentially increase the number of people you can educate at web-scale by just adding more instructors.
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Well demonstrated.
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BGDB ..anyhow, anyone know when uc berkeley offered their first "cloud" class?
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Back in the 60s they held them in multi-colored Volkswagen buses.
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And if you or one of your friends had access to 'the good stuff' you could be in the cloud for quite awhile...
How Relevant Are The Technologies? (Score:2)
Can anyone shed some light on whether these technologies are niche/minor technologies, or whether they're actually popular / useful / used technologies?
"I've never heard of AMPLab" means just about nothing, given that I don't really spend a lot of time on Big Data. I recognize Hadoop (and MapReduce, Scala, etc,etc), but most of the technologies used in this class seems to be specific to Berkeley.
(I'm almost afraid to ask, given that there's a grand total of 13 comments and it's already 1/2 down the /. main