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So you managed to survive the first post and are still hungering for more? Don’t worry, I got you covered. This time around, we’ll get into more of the peripheral, optional components that might be useful to you. The format will largely be the same as the first post, so let’s get right to it.
So you wanna learn you some Hadoop, eh? Well, get ready to drink from the firehose, because the Hadoop ecosystem is crammed full of software, much of which duplicates efforts, and much of which is named so similarly that it’s very confusing for newcomers.
I lay awake at night worrying about other people’s data.
Have you heard of MapReduce? How about Data Lake or petabytes? If you’ve heard these big data terms before and weren’t sure exactly what they meant, it’s time to find out. CloudU today is launching its “Bigger is Better” Big Data Massive Open Online Course (MOOC).
Rackspace and ObjectRocket want to inspire developers to be creative. We want to help them build applications that solve pressing problems – both today and in the future.
I was recently in a meeting with the CIO and a selection of senior Business Unit executives from one of Australia’s largest companies. We discussed the importance of cloud and big data for all businesses in the future and how these technologies and concepts could apply to their industry. Looking at the body language around the room, the reactions were typical of senior executives really exploring these concepts for the first time – awe, excitement, trepidation, confusion, curiosity and a desire to learn more.
By Paul Campaniello, Vice President of Global Marketing, ScaleBase
Data processing platforms do not exist in siloes. That is why it is increasingly important for Rackspace to provide interoperability between datastores. This enables customers to choose the best technology for their data processing needs, without being restricted to a single tool.
Hadoop Summit kicks off today. And while I could start this post by providing a long diatribe about the momentum and disruption happening in the big data space, I feel I can spare you that point. This momentum is being felt across every sector and is addressing almost every new data workload coming into existence. The argument no longer needs to be made.
For those of you who don’t know, Trove is the newest integrated OpenStack project. We have been working on it for over two years at Rackspace, and it’s been a wild ride. We’ve had a ton of help from our friends at HP, who have been on this roller coaster with us for a long while as well. You’re sure to hear more about Trove at OpenStack Summit Atlanta next week, but today I’d like to take a walk down memory lane with Trove, and talk about how it went from a small project started within Rackspace to the treasure it is today.
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