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Don't Write Off Relational Databases For Big Data Just Yet

Don't Write Off Relational Databases For Big Data Just Yet | BigData | Scoop.it
Big Data may be the poster child for NoSQL databases and date warehouses, but one industry veteran isn't giving up on SQL databases for Big Data just yet.
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What Does 'Big Data' Mean?

What Does 'Big Data' Mean? | BigData | Scoop.it
It is interesting to note that a substantial subset of the computer science community has redefined their research agenda to fit under the marketing banner of "Big Data."
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Big Data or Big Insights? - ClickZ

Big Data or Big Insights? - ClickZ | BigData | Scoop.it
It\'s time to understand how the various data are going to help support your various marketing objectives.

 

Key excerpt...

 

One of the challenges I have with the notion of the data scientist is that the position is portrayed as some kind of analytical superhero. Someone who can write code to extract data from humongous databases, use complex statistical and algorithmic processes to create amazing insights from that data, and then present them to the business in a way that they understand using the very best in data visualization. Undoubtedly these people do exist, but there aren't going to be enough of them to go around. Organizations are going to have to figure out how they get all those things done, and it's more likely than not to be a multi-disciplinary approach. People who manage the data integrity of the business, people who are skilled in the art and science of analytics, and people who can consult with the business to create the insights.

 

Delivering actionable insights is the point, and that leads me back to the title. One of the things I worry a bit about with big data is that it feels a bit like a solution looking for a problem. There is the danger that organizations become obsessed with gearing up for big data and leave behind the opportunities that already exist on the table. Most organizations already have enough data that they're not leveraging, let alone needing more. What's needed is more focus on what insights are needed to solve the problems that the companies face. As Rufus Pollock, founder and co-director of the Open Knowledge Foundation in the U.K. puts it, "The real opportunity is not big data, but small data. Size in itself doesn't matter - what matters is having the data, of whatever size, that helps us solve a problem or address the question we have."


Via CYDigital
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CYDigital's curator insight, June 14, 2013 6:54 AM

This is an opinion piece, but a good one, and we think we caught the main points with the aforementioned scoop. Couple of things: 1) Data Scientists will be a relatively rarity. We think that to accomplish what is needed, you'll need individuals with strong quantitative backgrounds who can be creative with raw data; 2) Big Data in the world of B2B ain't that big, so it's ideal for small data initiatives.


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Before You Can Manage Big Data, You Must First Understand It

Before You Can Manage Big Data, You Must First Understand It | BigData | Scoop.it
Before we can manage effectively in a big data world, we must first change our business culture from one that values clever ideas to one that embraces simulation, testing and action.
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Making Smarter Business Decisions - Drinking from the Fire Hose

Making Smarter Business Decisions - Drinking from the Fire Hose | BigData | Scoop.it
Knowing the smart questions to ask leads to better decisions. An intriguing new book emphasizing it is not the volume of data, but the judgment how to use it.
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Sizing Up Big Data, Broadening Beyond the Internet

Sizing Up Big Data, Broadening Beyond the Internet | BigData | Scoop.it
Internet companies were just the start. Virtually every field, from science to sports to public health, is being transformed by data-driven discovery and decision-making.
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