Category: Data Management
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A Data Processing Guide in the Big Data Jungle
We are deep in the Big Data jungle. According to Gartner’s Hype Cycle for Emerging Technologies, Big Data has now officially passed the “peak of inflated expectations”, and is now on a one-way trip to the “trough of disillusionment”. Gartner says it’s done so rather fast, because we already have consistency in the way we approach…
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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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Data Science Toolbox: How to use R with Tableau
Recently, Tableau released an exciting feature that enhances the capabilities of data analytics: R integration via RServe. By bringing together Tableau and R, data scientists and analysts can now enjoy a more comprehensive and powerful data science toolbox. Whether you’re an experienced data scientist or just starting your journey in data analytics, this tutorial will…
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Gartner Positions Tableau as a Leader for the First Time in BI Magic Quadrant
One of the most highly anticipated and highly regarded reviews of the business intelligence market was published a couple of days ago. Gartner released its 2013 iteration of the famous Magic Quadrant for BI and Analytics Platform (aka. Gartner BI MQ) – and Tableau was cited as a “Leader” for the first time. Congraulations team Tableau!
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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…
