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The world is ready for the consumer-grade enterprise

Former VMware CEO and current Pivotal Initiative leader Paul Maritz shares his thoughts on how the future of enterprise IT must mirror the practices of consumer web companies.

In the last three decades, we’ve seen a shift in enterprise information technology, from mainframes that automated our financial information,…

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Added by Vincent Granville on March 19, 2013 at 8:34am — No Comments

Preparing Millennials to Tackle Big Data Challenges

The South by Southwest Interactive conference in Austin, Texas captivates our imaginations for a few days every year. How do they do it? The conference makes science and technology look both lucrative and cool. Bright-eyed startup teams leave the conference with dreams of being the next Twitter or Instagram.

We need to see more of this momentum, especially amongst Millennials. To generate interest in technology careers such as those created by the Big Data wave, incentive…

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Added by Radhika Subramanian on March 19, 2013 at 5:09am — 1 Comment

Great graphic diagrams

Everybody talks about beautiful charts and graphs, usually produced by Tableau or R, see links below. They are definitely great and I guess publishers (including us!) love to regularly show such graphs to our readers because it generates a lot of reactions. 

But what about graphic diagrams (see examples below)…

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Added by Vincent Granville on March 18, 2013 at 4:30pm — 1 Comment

Weekly digest - March 17

Sponsored Announcement

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Added by Vincent Granville on March 17, 2013 at 1:16pm — No Comments

Vertical vs. Horizontal Data Scientists

There are two types of data scientists:

  • Vertical data scientists have very deep knowledge in some narrow field. They might be computer scientists very familiar with computational complexity of all sorting algorithms. Or a statistician who knows everything about eigenvalues, singular value decomposition…
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Added by Vincent Granville on March 17, 2013 at 12:30pm — 28 Comments

Selected articles posted this week

Here's our updated list:

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Added by Vincent Granville on March 14, 2013 at 7:30am — No Comments

In-Memory Data Grids Allow Data Science at Faster Speeds

In-Memory Data Grids (IDG) allow organizations to collect, store, analyze and distribute large, fast-changing data sets in near real-time. Organizations are increasingly using IDG's for the efficient sharing of fast-changing data across multiple sites. IDG's provide the scalability and…

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Added by Michael Walker on March 13, 2013 at 7:30pm — 1 Comment

Overcoming Big Data Challenges in the Enterprise

2.7 zetabytes of data exist in the digital universe today according to recent IBM case studies. Yes, you heard right. I said zetabytes; 10^21 bytes or 1,000x larger than an exabyte (which itself is a billion times larger than a gigabyte). From a visual perspective, if the cup of coffee on your desk was equivalent to one gigabyte, a zetabyte would have the same volume as the Great Wall of China. Now multiply that number…

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Added by Kyle Herring on March 13, 2013 at 1:15pm — No Comments

Stock market: should you buy or sell?

The stock market has soared despite no news to support the new highs. Is it time to sell or to short? Or to buy?

Here's my advice, both as a data scientist, and as a former day trader who survived 15 years of stock market volatility  (and increased model-resistant price oscillations), mostly by not trading anymore since 2000,…

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Added by Vincent Granville on March 12, 2013 at 9:00pm — 2 Comments

Unstructured Data Really Isn't

Unstructured Data Really Isn’t

Bradley S. Fordham, PhD (www.linkedin.com/in/drbradleyfordham)

The (ART+DATA) Institute

The term “unstructured data”, is truly an oxymoron.  All data has structure, and in fact most data has multiple structures…

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Added by Zach Piester on March 10, 2013 at 2:18pm — No Comments

Automatically deskew before machine learning in R

I found it odd there was no way to automatically deskew data in R, so I wrote a short little function to do it.  It noticeably improves the peformance of linear models and linear support vector machines.
http://technicaltidbit.blogspot.com/2013/03/automatically-deskew-before-machine.html

Added by Michael Malak on March 9, 2013 at 2:00pm — 1 Comment

Big Data means to support Buzz Marketing actions

 

What is buzz marketing? In the strict sense of the term, buzz marketing is creating noise around a product, service, company or brand. For example you can recruit consumers, preferably proactive volunteers who influence their peers, and help them to try your products in good condition before pushing them to talk about their experience.



The buzz is one of the most powerful forces in the market, and knowing how to master this important marketing channel is critical. Word of…

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Added by Michel Bruley on March 7, 2013 at 4:21am — No Comments

Open for Comment: Proposed "Data Science Code of Professional Conduct"

We are seeking comments and suggestions on a proposed "Data Science Code of Professional Conduct".

Data science is an independent profession. Data scientists have a higher calling than just technical skills. We have a duty to use data science to make life, business and government better.…





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Added by Michael Walker on March 6, 2013 at 8:17pm — 2 Comments

Quick! Hire a Data Scientist! Not so fast, perhaps...

Contrary to the prevailing sentiments, I counsel patience with regards to hiring a data scientist. Firstly, I mean no disrespect to my data science colleagues, and many will likely agree with me because no one likes to enter an environment where sub-optimal results or failure are probable. Yes, it’s likely you need to add one or even a few data scientists to the team, but not as your first step into the wide, wide world of Big Data. Give me a few minutes and hopefully you’ll see it my…

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Added by Alan Nugent on March 5, 2013 at 4:01am — No Comments

How to Integrate the Work of the Data Scientist into the Company's Strategy

This blog entry continues the topic of how a Data Scientist can convince colleagues to become more data driven.  The previous blog covered office politics.  This entry covers integration with the strategy and, more specifically, the process that creates the company's strategy.

Every company is unique and consequently so is its strategy process. At first glance, research on how companies develop strategies is complex and contradictory. There are simply too many ways to go about it:…

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Added by Stephen Penn, DM, PMP on March 5, 2013 at 2:40am — 2 Comments

40 selected articles from top news outlets

Enjoy the reading!

  1. The Upbeat Stats on Statistics | WSJ…
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Added by Vincent Granville on March 3, 2013 at 3:46pm — No Comments

Weekly Digest - March 4

Sponsored

Featured on…

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Added by Vincent Granville on March 3, 2013 at 2:30pm — No Comments

PAW San Francisco Packs a Punch with Keynotes in 2013

This year, Predictive Analytics World San Francisco (April 14-19) features an incredible agenda filled with awesome keynotes and 35 keynotes from leading organizations..

Check out some of the headliners at PAW SF this year:…

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Added by Vincent Granville on March 3, 2013 at 1:00pm — No Comments

EMC Greenplum Brings SQL to Hadoop | Forbes

By Ben Woo, Forbes Contributor.…
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Added by Vincent Granville on February 28, 2013 at 3:12pm — No Comments

Spark, Shark and Mesos Data Analytics Stack

The Berkeley Data Analytics Stack (BDAS) is an open source, next-generation data analytics stack under development at the UC Berkeley AMPLab whose current components include …

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Added by Michael Walker on February 27, 2013 at 10:08am — No Comments

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