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Will They Blend? Experiments in Data & Tool Blending. Today: YouTube Metadata meet WebLog Files. What will it be tonight – a movie or a book?

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In this blog series we’ll be experimenting with the most interesting blends of data and tools. Whether it’s mixing traditional sources with modern data lakes, open-source devops on the cloud with protected internal legacy tools, SQL with noSQL, web-wisdom-of-the-crowd with in-house handwritten notes, or IoT sensor data with idle chatting, we’re curious to find out: will they blend? Want to find out what happens when IBM Watson meets Google News, Hadoop Hive meets Excel, R meets Python, or MS Word meets MongoDB?

Follow us here and send us your ideas for the next data blending challenge you’d like to see at willtheyblend@knime.com.

Today: YouTube Metadata meet WebLog Files. What will it be tonight – a movie or a book?

Authors: Rosaria Silipo and Iris Adä

The Challenge

Thank God it’s Friday! And with Friday, some free time! What shall we do? Watch a movie or read a book? What do the other KNIME users do? Let’s check!

When it comes to KNIME users, the major video source is YouTube; the major reading source is the KNIME blog. So, do KNIME users prefer to watch videos or read blog posts? In this experiment we extract the number of views for both sources and compare them.

YouTube offers an access REST API service as part of the Google API. As for all Google APIs, you do not need a full account if all you want to do is search; a key API is enough. You can request your own key API directly on the Google API Console. Remember to enable the key for the YouTube API services. The available services and the procedure to get a key API are described in these 2 introductory links:
https://developers.google.com/apis-explorer/?hl=en_US#p/youtube/v3/
https://developers.google.com/youtube/v3/getting-started#before-you-start

On YouTube the KNIME TV channel hosts more than 100 tutorial videos. However, on YouTube you can also find a number of other videos about KNIME Analytics Platform posted by community members. For the KNIME users who prefer to watch videos, it could be interesting to know which videos are the most popular, in terms of number of views of course.

The KNIME blog has been around for a few years now and hosts weekly or biweekly content on tips and tricks for KNIME users. Here too, it would be interesting to know which blog posts are the most popular ones among the KNIME users who prefer to read – also in terms of number of views! The numbers for the blog posts can be extracted from the weblog file of the KNIME web site.

YouTube with REST API access on one side and blog page with weblog file on the other side. Will they blend?

Topic. Popularity (i.e. number of views) of blog posts and YouTube videos.

Challenge. Extract metadata from YouTube videos and metadata from KNIME blog posts.

Access Mode. WebLog Reader and REST service.

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