Absolutely true, Technocrat! Even data mining in unstructured data is VERY different because lacking fields you can't easily constrain the classification problems, and because meaning is semantic rather than structured.
Thank you for your explanation of structured versus unstructured data. And from all the discussion I have had in this area, people do seem to make a distinction between the two.
I agree with your statement that these two areas do not need to be harmonized if in fact that is possible. Those who want to apply the techniques of strutured data to unstructure data do not understand the distinction between the two.
Enterprise Efficiency is looking for engaged readers to moderate the message boards on this site. Engage in high-IQ conversations with IT industry leaders; earn kudos and perks. Interested? E-mail: email@example.com
Now that TGen has broken new ground in genomic research by using Dell's storage, cloud, and high-performance computing solutions, the company discusses what will come next for it and for personalized medicine.
The Translational Genomics Research Institute wanted to save lives, but its efforts were hobbled by immense computing challenges related to collecting, processing, sharing, and storing enormous amounts of data.
At the GigaOM Structure conference, a startup announced a cloud and virtualization storage optimizing approach that shows there's still a lot of thinking to be done on the way storage joins the virtual world.
We always hear about "Big" data, but a real issue in cloud storage is not just bigness but also persistence. A large data model is less complicated than a big application repository that somehow needs to be accessed. The Hadoop send-program-to-data model may be the answer.
EMC's Project Lightning has matured into a product set, and it's important, less because it has new features or capabilities in storage technology and management, than because it may package the state of the art in a way more businesses can deploy.