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Featured Blog Posts – April 2013 Archive (17)

How to install MapR M3 on Ubuntu through Ubuntu Partner Archive.

In a recent post of mine I had mentioned about the partnership between MapR and Canonical towards an initiative to make Hadoop available with Ubuntu natively through Ubuntu Partner Archive. Since, the package has been released now, I thought of showing how to get it done. Trust me it's really cool to install Hadoop…

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Added by Mohammad Tariq Iqbal on April 30, 2013 at 4:18pm — No Comments

Viral program for data science authors and bloggers

You are invited to tweet links from our network on Twitter and Google+, and earn money.

Links must be from DataScienceCentral.comBigDataNews.com or …

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Added by Vincent Granville on April 29, 2013 at 8:00pm — No Comments

Data Science Revolutionizes Health Care

Health care is ripe for disruption. Overpriced, inefficient, lack of price transparency, dysfunctional regulations and a "one-size-fits-all" approach are a few of the many problems screaming for solutions. …

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Added by Michael Walker on April 25, 2013 at 1:11pm — No Comments

How Big Data will disrupt HR and Recruiting--PODCAST

Want to know what we think about how Big Data is going to affect HR and recruiting?

Aspen Advisors Founder, Andrew Gadomski shares his thoughts on Big Data.  Listen here.

This interview is the first of a monthly series of podcasts on Big Data and HR.  Big Data Trends will be available on…

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Added by Bridget Mead on April 24, 2013 at 8:58am — 2 Comments

Data Science: The End of Statistics?

This question was recently posted by Larry Wasserman on the Normal Deviate blog (see extract below). Larry is a statistics and machine learning professor at Carnegie Mellon University.

Here is my…

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Added by Vincent Granville on April 23, 2013 at 8:30pm — 12 Comments

Selected articles from top news outlets

34 data science, big data, visualization and analytics articles from small and big news outlets - including MIT, Harvard Business Review, Forbes, New York Times, Wall Street Journal, Bloomberg, Wired and many more. Published over the last 30 days. In mildly random order - the most recent ones at the top. The first one is actually a sponsored listing. …

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Added by Vincent Granville on April 20, 2013 at 9:30am — No Comments

Should Data Science Become a Profession?

On April 10, 2013 Gregory Piatetsky-Shapiro (KDnuggets), Eric Siegel (Predictive Analytics World) and Michael Walker (…

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Added by Michael Walker on April 18, 2013 at 8:36am — 5 Comments

Pivotal - A New Company, A New Data Platform

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Added by Vincent Granville on April 17, 2013 at 3:00pm — No Comments

New, fast Excel to process billions of rows via the cloud

This could be a new startup idea: creating an Excel-compatible software, working just like Excel, but able to handle bigger datasets, much faster.

Like most data scientists, I've been using Excel a lot in my career, and it definitely has some very powerful features. Probably the greatest one is its ability to help design,…

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Added by Vincent Granville on April 16, 2013 at 7:30pm — 11 Comments

Weekly Digest - April 15

Featured on DSC, Big Data News and AnalyticBridge

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Added by Vincent Granville on April 14, 2013 at 3:48pm — No Comments

Big Data, Fast Data, Smart Data

Big data needs to be fast and smart. Here’s why.

 

DAUNTING DATA

Every minute, 48 hours of video are uploaded onto Youtube. 204 million e-mail messages are sent and 600 new websites generated. 600,000 pieces of content are shared on Facebook, and more than 100,000 tweets are sent. And that does not even begin to scratch the surface of data generation, which spans to sensors, medical records, corporate databases, and…

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Added by Alissa Lorentz on April 12, 2013 at 5:18am — No Comments

Small Data is Beautiful

The tech marketing hype machine shouting "Big Data" has drowned out the fact that more actionable, valuable insights are likely to be found in small versus large data sets. There are a number of reasons for this phenomenon, but a major reason is the curse of big data. "Big data" means…
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Added by Michael Walker on April 10, 2013 at 8:03pm — 3 Comments

BI reporting tools: To Pay or Not To Pay.

 Free VS Non-Free

Our company recently implemented a BI Reporting solution intended for a retail company with both, an offline retail chain and an online web-shop. This was a Demo project, so during the planning phase our team decided to use two different platforms, including different back-end and front-end software.

In general, we planned to compare the free and non-free software available for similar BI Reporting…

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Added by Alexey Golovashov on April 8, 2013 at 10:25pm — 2 Comments

The Face of the New University

Since we started developing our Data Science Apprenticeship, we've been thinking a bit about the future of higher education. Here is a summary of our thoughts:

The new degree…

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Added by Vincent Granville on April 7, 2013 at 1:00pm — 7 Comments

Big Data: information, propaganda, disinformation and deception



The Big Data wave makes us take a new step in the information age in which we live. Data & information have taken a central place in all our activities; even war is concerned (information warfare, electronic warfare, for example). In the information age, the power of ideas plays a more and more prominent role, but as the principle of skepticism is largely widespread, our era is also the era of suspicion and mistrust. Normally there are always data that are transformed into…

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Added by Michel Bruley on April 4, 2013 at 11:36pm — 1 Comment

Data Scientists Draw Pictures and Tell Short Stories

Brevity is the soul of wit. Rose Business Technologies has three (3) rules of effective business communication: 1) be brief; 2) be blunt; 3) be gone. This is good counsel for data scientists.

.…

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Added by Michael Walker on April 3, 2013 at 5:43pm — No Comments

10 Forbes articles on visualization, by Naomi Robbins

She's an expert in visualization, and you can check her website at www.nbr-graphs.com.

About Naomi Robbins

Here are some of her recent articles:…

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Added by Vincent Granville on April 2, 2013 at 7:00pm — No Comments

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