Tag: Oracle
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7 Big Data Analytics Use Cases for Financial Institutions
Recently we hear a lot about Big Data Analytics’ ability to deliver usable insight – but what does this mean exactly for the financial service industry? While much of the Big Data activity in the market up to now has been experimenting about Big Data technologies and proof-of-concept projects, I like to show in this post seven issues banks and…
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Challenges of Big Data Analytics in High-Energy Physics
There are four key issues to overcome if you want to tame Big Data: volume (quantity of data), variety (different forms of data), velocity (how fast the data is generated and processed) and veracity (variation in quality of data). You have to be able to deal with lots and lots, of all kinds of data, moving really…
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CERN: Where Big Bang Theory meets Big Data Analytics
The volume, variety, velocity and veracity of data generated by the LHC experiments at CERN continue to reach unprecedented levels: some 22 petabyte of data this year, after throwing away 99% of what is recorded by the LHC detectors. This phenomenal growth means that not only must we understand Big Data in order to decipher…
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Analyzing High Energy Physics Data with Tableau at CERN
About a year ago, I had a first try with Tableau and some survey data for a university project. Last week, I finally found time to test Tableau with High Energy Physics (HEP) data from CERN’s Proton Synchrotron (PS). Tableau enjoys a stellar reputation among the data visualization community, while the HEP community heavily uses…
