Played with Microsoft research “Project Daytona” – MapReduce on Windows Azure

Standard

Recently, I played with Project Daytona which is a MapReduce on Windows Azure.

It seems like a great “Data Analytic’s as a service”. I tried the k-means and the word-count sample application that comes bundled with the project run-time download: http://parasdoshi.visibli.com/share/z14Ty2

The documentation along with the project guides you in a step by step fashion on how to go about setting up the environment but for those who are curious, here is a brief description on how I setup the environment:

1) Uploaded the sample data-sets to Azure Storage

2) Edited the configuration file (ServiceConfiguration.cscfg) to point to correct Azure Storage

3) Chose the Instance size and the no. of Instances for the deployment

4) Deployed the binaries to Windows Azure (.cspkg and .cscfg)

5) Ran the Word Count Sample

6) Ran the K-means Sample

Conclusion: It was pretty amazing to run MapReduce on Windows Azure. If you are into BigData, MapReduce, Data Analytic’s – then check out “Project Daytona”

That’s about for this post. And what do you think about Project Daytona – MapReduce on Windows Azure?

Note from Paras: To support this blog and free content here, I partnered with Datacamp for affiliate marketing revenue. I personally use this platform (see my profile here) and highly recommend it. I wouldn't be endorsing them if it wasn't 10/10! Click on the link below to start your journey towards becoming the BEST data professional! datacampParas's datacamp referral link

One thought on “Played with Microsoft research “Project Daytona” – MapReduce on Windows Azure

What do you think? Leave a comment below.