If You Seek Variety Do Not Turn to Big Data
January 3, 2014
I am sure that you have heard that Big Data is capable of working with all data types. According to Information Week’s article, “Variety’s The Spice Of Life-And Bane Of Big Data” the newest trend has problem and the biggest is handling the variety of data. The article argues that it is impractical to funnel ad hoc data source into a central schema. The better alternative is to use optional schema also known as RDF standards or semantic web technologies. How can trading one schema for another make a difference?
The article states:
“When data is accessible using the simple RDF triples model, you can mix data from different sources and use the SPARQL query language to find connections and patterns with no need to predefine schema. Leveraging RDF doesn’t require data migration, but can take advantage of middleware tools that dynamically make relational databases, spreadsheets, and other data sources available as triples. Schema metadata can be dynamically pulled from data. It is stored and queried the same way as data.”
RDF acts like a sieve. It allows the unnecessary data information to run through the small holes, leaving the relevant stuff behind for quicker access. It sounds like a perfect alternative, except it comes with its own set of challenges. The good news is that these problems can easily be resolved with a little training and practice.
Whitney Grace, January 03, 2014
Sponsored by ArnoldIT.com, developer of Augmentext
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