Data Science & The Role of the Data Scientist
nosql: From the Wikibon blog infographic about data science and the data scientist: Data science can be broken down into four essential parts: mining data: collecting and formatting the information statistics: information analysis interpret: representation or visualization leverage: implications of the data, application of the data, interaction using the data and predictions formed from...
That awkward moment when you're:
I’m almost 30 & this still happens. queenofthewildfrontier: Watching a movie with your parents: And then a sex scene comes on: And you’re just like: And you look over at your parents but they just have blank stares on their faces: So you try to ignore the scene: Until it gets kinkier and you’re just like: And finally it’s over but the awkwardness still lingers in the air: ...
Why MapReduce is Simple →
nosql: Mathias Meyer: I’m almost 100% certain you use MapReduce every day. If not daily, then at least once a week. Whenever you have a list of items that you loop or iterate over and transform into something else one by one, if only to extract a single attribute, there’s your map function. Explaining MapReduce using simple functions. Original title and link: Why MapReduce is Simple (NoSQL...
myNoSQL: Cloud Foundry, NoSQL Databases, and... →
nosql: VMWare’s Cloud Foundry has the potential to become the preferred PaaS solution. It bundles together a set of services that it took years for other PaaS providers (Google App Engine, Microsoft Azure) to offer. And it seems that Cloud Foundry has much less (or none at all) vendor lock in.