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: XML meets JSON
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The Challenge
The ChallengeDo you remember the first post of this series? Yes, the one about blending news headlines from IBM Watson News and Google News services about Barack Obama? Blending the news headlines involved a little side blending – i.e. blending JSON structured data – the response of Google News – with XML structured data – the response from IBM Watson News.
Today, the challenge is to parse and blend XML structured data with JSON structured data. Recycling part of the original blog post workflow, we query IBM Watson AlchemyAPI News service for the first 100 news headlines on Barack Obama and the first 100 news headlines on Michelle Obama. We want the response for Barack Obama to be received in XML format and the response for Michelle Obama in JSON format. Two data sets: one for Barack Obama (XML) and one for Michelle Obama (JSON). Will they blend?
Topic. News Headlines on Barack Obama and separately on Michelle Obama from October 2016.
Challenge. Blend the two data response data sets respectively in XML and JSON format.
Access Mode. JSON and XML parsing for IBM Watson AlchemyAPI News REST service response.
