DataHero is an online visualization tool that allows you to integrate with tons of services across the web and import data seamlessly. One of these services is Google Drive, where you can create new files of your Hadoop data using Mortar’s custom analytics. In this post, I’ll outline how to pull Hadoop data into Google Drive using Mortar, then import it into DataHero and visualize it really easily.
Mortar is a data analytics platform that makes it easy to work with Hadoop and other open technologies. Mortar also allows for automatic updating of your Hadoop data within your Google Drive account. For more detail on how to use Mortar to pull out Hadoop data and create new files in Google Drive check out their post . Once you have the data you need in Google Drive, I’ll walk you through integrating your Drive acccount to DataHero, creating the visualizations you need, and keeping them automatically updated.
Integrate DataHero to your Google Drive account and you’ll see a list of files available for import:
DataHero will automatically categorize your data by type and suggest charts based on your specific information:
Select one of these suggested charts or create your own. Once you have the charts you need, enable automatic updates with Live Charts, which you’ll see in the screenshot above. This means that as Mortar dumps new data into your Google Spreadsheet, DataHero will pull in that new data and automatically update your charts. Set the updates based on your schedule. Then create a dashboard with all the charts you need and you won’t have to continually repeat the process of pulling out Hadoop data, creating visualizations and attaching them in an email.
Now you know how to use Mortar, Google Drive and DataHero to make your Hadoop visualizations easier, faster, and most importantly, up to date.
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