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A previous post compared working with data to a digestive system. At BigML we think that the Big Data technology in Ingestion and Digestion (capturing data and processing data) is hyped at the expense of Absorption and Assimilation (creating new insights and putting them to action). Aquiring a new tool, installing it on your hardware and learning how to run it may take months. Even though some vendors claim you can get new insights within hours, setting up a Hadoop cluster and installing everything will take quite a bit more than that. What you really want is to get to the insights as soon as possible and put them to action. Then validate the results and work your way back to technology for a more robust implementation if needed. How? That's what this post is about.
8 Steps to Get Started.
Here's our 8 simple steps to get started with Big (or small) Data.
Actionable analytics.
Central in this approach is your ability to easily create various models and put them to work immediately. At BigML we have created both facets. Your model is made in just a few clicks. And connecting to our platform to run predictions was already very simple through the API. Recently we've put some effort in making your models downloadable, so you can run them on your own environment. It is as simple as clicking the download icon, select the language you need and then copy/paste the generated code. We even added a little elephant button. This will activate a special Hadoop version of the download (available for some of the languages): the code is split in a mapper and a reducer and ready to deploy in your Hadoop environment.
Get started.
All the pieces are available, usually at little to no cost. Registering at BigML is done in a minute, doesn't require you to leave any personal details and will get you up to 50MB of free modeling credits. All you need is some awesome data. Why don't you get started?
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