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It’s 2015 — You’d Think We’d Have Figured Out How To Measure Web Traffic By Now
This massive review of the difficulty of measuring "uniques" doesn't try to answer what I see is really the most interesting question: why measure uniques?
In May, a Vanity Fair article about Bill Simmons’s departure from ESPN said that Grantland had 6 million unique visitors in March but that “ESPN’s internal numbers … had the site reaching 10 millio…
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Xiaodong Qi

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If you don't know big data problem may be easily solvable using a quantum computer, the new lab established by a cloud computing company in collaboration with quantum scientists may open your mind.  Credit from the quantum information post: https://plus.google.com/u/0/communities/112872767737673370045?cfem=1
 
Do you believe it? Another business giant started a quantum computing lab with scientists. Aliyun, Alibaba Group’s BABA, cloud computing subsidiary, and the Chinese Academy of Sciences (CAS) today announced that they have signed a memorandum of understanding (MoU) in Shanghai to co-found the Chinese Academy of Sciences – Alibaba Quantum Computing Laboratory.
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How DO you measure "income inequality"?
This presentation by officials of the US Census Bureau provides insight into the complexity of objectively defining, measuring, and tracking measures related to "income inequality." 
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Camila Mendez

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Static Testing vs Pen Testing - 7 Reasons To Pick Static Testing (SAST/SCA)
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Are You Staffed For Big Data Excellence?
I like the following quote from this article: "Big Data is a team function that requires numerous skills in addition to technology. It demands skills in integrating analytic results with other technology; skills in explanation and skills in fitting results it in with existing practices. Teams also need to incorporate creativity, a deep understanding of the business and its environment, understanding of the strategic intentions of the firm, and, most importantly an ability to cooperate and collaborate within the team environment itself."
Expectations for Big Data remain high. It offers businesses the real possibility of becoming more competitive in uncertain times. Yet it also embodies everything that is powerful and obscure in today’s world of information technology. It is seen as the top panacea, but it can also become a major headache.
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[EDIT: Two readers - Pseudo-Erasmus and Noah Smith - have chimed in with very plausible explanations centering around labor force participation and productivity.] A commenter asked in yesterday's d...
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The Half Life of Data
Neat infographic. Too bad about the typo!
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Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically categorizing them using indexation and automated tagging algorithms.
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It's a home for anybody data-curious, whether your data is big, small, square or scruffy. If you think you can decide better, do better, or be better through data, you belong here! Before posting, please check out our guidelines below.
 
There are two new books in the "... For Dummies" series that are targeted to our profession: "Data Science For Dummies" by Lillian Pierson, and "Data Mining for Dummies" by Meta Brown. I don't know about you, but I am happy to be called a dummy when I see books like this -- not only do I want them for my bookshelf, but I wish that I had thought of it! :)
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Opportunity for a Data Analyst position in Reston, Virginia (USA).
Interested in joining the data revolution? An exciting data-centered opportunity for a smart, driven individual looking to step into the big data and analytics space. Work on cutting-edge technologies with a great team and have fun while working on interesting and challenging projects.
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Karimmohammed325@gmail.com 
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Patents Dashboard
You may not be able to see the dashboard (due to JavaScript) but this is an interesting way to show how the Patent Office is performing: http://www.uspto.gov/dashboards/patents/main.dashxml
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Database expert on why NoSQL mattered — and SQL still matters
Wow -- this is a really insightful view of How Things have Changed. Here is one of many valuable quotes: "In this new regime, where you store the data first and then figure out what to do with it, it’s completely changed it. Now you can collect all the technical data you can think about collecting. Yes, you have to do some extra work when you go to use it; and, yes, you might take a little bit of a performance hit because you don’t have the storage completely optimized; and, yes, there may be some consistency problems that you need to understand. But by and large, the friction of getting your data-management system put together now has just decreased dramatically."
The first part of this interview with University of California Berkeley professor and AMPLab co-director Michael Frankli…
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Within the next 12 months.. SQL will still be around, but most if not all of the NO-SQL will be gone..  SQL will be replaced by "Associative Technology".. This is a simple mathematical fact.. like it or not..
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The Big Data Iceberg
I'd throw in some "project management" below the waterline but this is pretty good as it is.
If there’s one area of analytics that people get really passionate about, it’s visualization. But as a new generation of people discover the joys of analytics, it’s worth remembering that pretty dashb...
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7 skills/attitudes to become a #datascientist. http://bit.ly/1evRbcf
Here I outline 7 skills/attitudes we can have to become better data scientists.
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I like the graphic but...
... I would also say "Actual Behavior beats Intent always."
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The Next Big Thing In Big Data: BDaaS
My advice: be sure to do a "total cost of ownership" (TCO) analysis at the front end of "going BDaaS,"
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The order in the Top30 list may be a little bit mixed up, but still a nice list though ;)
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SmartBear

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Having a successful API program is more than just defining a great API. Learn more in a live webinar about API management next week with API Evangelist, Lorinda Brandon, and Principal PM at Microsoft, Vladimir Vinogradsky. #apimgt   #api   #softwaredevelopment  
This webinar will cover how to use the Microsoft Azure API Management plugin for Ready! API
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