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Rescooped by Pedro Gomez from Social Media, Marketing, Big Data, IoT, Comunication, Education, Technology.
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Three ways to build a big data system

Three ways to build a big data system | BIG DATA | Scoop.it
An organization looking to build a big data system has three primary configuration choices, explains Dale Neef in this excerpt from his book.

Via Eloísa Bahena
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7 Fuentes de datos gratuitas para hacer Big Data

7 Fuentes de datos gratuitas para hacer Big Data | BIG DATA | Scoop.it
Te presentamos hasta 7 fuentes de datos gratuitas para hacer Big Data Análisis en tu empresa porque sabemos lo difícil que es encontrar datos que analizar
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Rescooped by Pedro Gomez from Data is big
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Machine Learning Algorithm Mines 16 Billion E-Mails | MIT Technology Review

Machine Learning Algorithm Mines 16 Billion E-Mails | MIT Technology Review | BIG DATA | Scoop.it
Human e-mailing behavior is so predictable that computer scientists have created an algorithm that can calculate when an e-mail thread is about to end.

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Pedro Gomez's insight:

mail data = smart data = Google power

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Rescooped by Pedro Gomez from Public Relations & Social Media Insight
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27 free Data Mining books « Big Data Made Simple

27 free Data Mining books « Big Data Made Simple | BIG DATA | Scoop.it

Are you looking for some free books to learn about Data Ming and related topics? Here is an epic list of absolutelly free books on Data Mining...


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Jeff Domansky's curator insight, April 3, 2015 11:35 PM

Looking for big data resources? Fill your hat with these free resources from Big Data Made Simple.

Rescooped by Pedro Gomez from Cloud Central
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Big data is all about the cloud

Big data is all about the cloud | BIG DATA | Scoop.it
Picking between Spark or Hadoop isn’t the key to big data success. Picking the right infrastructure is

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Peter Azzopardi's curator insight, April 6, 2015 5:47 PM

........ the cloud is emerging an increasingly popular option for the development and testing of new analytics applications and for the processing of big data that is generated "outside the four walls" of the enterprise.

Rescooped by Pedro Gomez from Digital Media Literacy + Cyber Arts + Performance Centers Connected to Fiber Networks
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How YouTube, Big Data and Big Brands Mean Trouble For Kids and Parents | Jeff Chester | AlterNet.org

How YouTube, Big Data and Big Brands Mean Trouble For Kids and Parents | Jeff Chester | AlterNet.org | BIG DATA | Scoop.it

There is a “digital gold rush” underway to cash in on young people’s passion for interactive media. Google and other media and ad companies are working to transform kids’ clicks and views into bundles of cash and burgeoning brand loyalty. While TV still dominates a great deal of kids’ media viewing, they are also consuming content (often simultaneously) on mobile devices, tablets, and through streaming or video-on-demand services.

 

In February, Google launched its YouTube Kids app for children five and under; Disney acquired leading youth-focused online video producer Maker Studios last year in a more than $500 million deal, giving it control of “the largest content network on YouTube”; Viacom’s Cartoon Network (CN) now offers CN’s “Anything,” providing mobile phone-friendly “micro” content and promising to serve a “network of devices giving a network of experiences to a network of fans”; and Amazon, Netflix, and others are sending more “kid targeted” streaming video-on-demand programming.

But unlike broadcast and cable TV, where there is at least a handful of FCC regulations that prevent some of the worst practices perfected by advertisers for targeting kids, the online world is mostly a regulatory-free zone when it comes to digital marketing.

 

Advocates and child-health experts fought a long campaign, from the 1970’s to the 1990’s, to ensure that TV didn’t take unfair advantage of how kids relate to advertising—so that shows weren’t simply “program-length commercials” for toys, or that the “host” or star of a program—such as a cartoon character—didn’t also pitch products at the same time. There were also modest limits in how many ads could appear in so-called “kidvid” programming.

 

These rules reflected research on children’s development and their inability to fully comprehend the nature of advertising. The FCC policies embraced an important principle: children were to be treated differently than adults when it came to TV advertising.

Such safeguards are even more important in the digital era, when sophisticated advertising techniques gather and analyze data on everything an individual does, and incorporate an array of powerful interactive features on mobile devices and PCs that have been designed to get results.

 

Parents and others who care about children should be forewarned: For Google, Facebook, media companies like Nickelodeon, toy companies, and junk food marketers, the Internet is a medium whose primary focus is to help brand advertisers turn young people into fans, “influencers” (to spread the word via social media), and buyers of products.

 

Although children benefit from using educational apps, and have greater access to more diverse entertainment and other content, the motivation really at work is to mold this generation of youth into super-consumers, encouraged to engage in a never-ending buying cycle of goods and services.

 

Click headline to read more and access hot links--


Via Chuck Sherwood, Senior Associate, TeleDimensions, Inc
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Tom Shaw's curator insight, April 9, 2015 4:51 PM

Super-consumers? get your capes ready.

Rachel Benoit's curator insight, April 10, 2015 3:25 PM

Do you think our kids are in danger of becoming super-consumers of technology?

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5 Big Data Recruitment Myths Busted

5 Big Data Recruitment Myths Busted | BIG DATA | Scoop.it
 
Big Data is a term that can’t be escaped these days...

Via promptcloud, Karlo Jara
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Rescooped by Pedro Gomez from Big Data and NoSQL Daily
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» Big data, cloud, and mobile: what every small business needs to know – part 1

» Big data, cloud, and mobile: what every small business needs to know – part 1 | BIG DATA | Scoop.it
Perhaps you’ve heard of the word “convergence” in regards to today’s digital technologies. Convergence describes the correlation and alignment of key capabilities in the areas of mobile, cloud, and Big Data to provide more powerful solutions than each technology can provide by itself.

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Rescooped by Pedro Gomez from Data is big
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Deep Learning Tutorials


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ukituki's curator insight, February 16, 2015 7:09 PM

The tutorials presented here will introduce you to some of the most important deep learning algorithms and will also show you how to run them using Theano. Theano is a python library that makes writing deep learning models easy, and gives the option of training them on a GPU.

 
Rescooped by Pedro Gomez from Technology Innovations
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Apache Spark Continues to Spread Beyond Hadoop

Apache Spark Continues to Spread Beyond Hadoop | BIG DATA | Scoop.it
Apache Spark is most often thought of as a faster replacement for MapReduce, the batch-oriented programming framework that enabled first-gen Hadoop to catc

Via Tony Shan
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Rescooped by Pedro Gomez from Analytics
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Frequently updated Machine Learning blogs « Big Data Made Simple

Frequently updated Machine Learning blogs « Big Data Made Simple | BIG DATA | Scoop.it
Are you looking for some of the frequently updated Machine Learning blogs to learn what's happening in the world of Machine Learning and related areas that explore the construction and study of algorithms that can learn from data and make...

Via Sathya Pandalai
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Rescooped by Pedro Gomez from Information Management & Big Data uses cases
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Business Users Vs. Data Scientist: Will Business Ever Prosper From Big Data? | Constellation Research Inc.

Business Users Vs. Data Scientist: Will Business Ever Prosper From Big Data? | Constellation Research Inc. | BIG DATA | Scoop.it

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Rescooped by Pedro Gomez from The Programmable City
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EU ministers hold Big Meeting on Big Data: Poxy citizens, always slowing us down | The Register

EU ministers hold Big Meeting on Big Data: Poxy citizens, always slowing us down | The Register | BIG DATA | Scoop.it

Europe’s Industry and Internal Market Ministers have been told to have a good long think about Big Data before showing up to their next meeting in Brussels on 2 March.

 

The “theme” of the next Competitiveness council meeting is “Unlocking Europe's digital potential: faster and wider innovation through open, networked and data-intensive research”.

 

The Presidency of the council has asked ministers to consider what their main priorities are for data-driven innovation in research. It also asks if Big Data challenges are sufficiently addressed at national level and how coordination at the EU level could be improved. ...

 


Via Rob Kitchin
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Rescooped by Pedro Gomez from Quantified Self, Data Science, Digital Health, Personal Analytics, Big Data
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The Next Big Digital Health Platform For Entrepreneurs To Build On: Your Car

The Next Big Digital Health Platform For Entrepreneurs To Build On: Your Car | BIG DATA | Scoop.it
The auto industry may be the biggest potential new partner for healthcare entrepreneurs. It's becoming a new platform to distribute digital health and wellness apps and a channel to reach millions.

Via JP DOUMENG
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Tres ejemplos reales de uso inteligente del Big Data

Tres ejemplos reales de uso inteligente del Big Data | BIG DATA | Scoop.it
En los dos últimos años se ha hablado mucho de Big Data. De cómo ayuda a tomar mejores decisiones de negocio y cómo está impactando en las organizacio...
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Rescooped by Pedro Gomez from Data is big
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.Rddj - Resources for doing data journalism with R

.Rddj - Resources for doing data journalism with R. A curated and opinionated list of resources for learning the in and outs of R for doing data journalism.

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Rescooped by Pedro Gomez from I can explain it to you, but I can't understand it for you.
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Interana: One startup’s revolt against the ‘high priests’ of big data

Interana: One startup’s revolt against the ‘high priests’ of big data | BIG DATA | Scoop.it
What if every time you searched for something on a popular search engine, it took ten minutes to get your results back? You’d probably take a lot more time crafting your questions and you would likely hesitate before asking a follow-up question.

Via Riaz Khan
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Rescooped by Pedro Gomez from Quantified Self, Data Science, Digital Health, Personal Analytics, Big Data
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If Algorithms Know All, How Much Should Humans Help?

If Algorithms Know All, How Much Should Humans Help? | BIG DATA | Scoop.it
If Algorithms Know All, How Much Should Humans Help?

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Rescooped by Pedro Gomez from Technology Innovations
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Google Launches BigQuery Streaming For Real-Time, Big-Data Analytics

Google Launches BigQuery Streaming For Real-Time, Big-Data Analytics | BIG DATA | Scoop.it
BigQuery, Google's cloud-based tool for quickly analyzing very large datasets, is getting a massive price cut today (up to 85 percent). But Google is also..

Via Tony Shan
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Rescooped by Pedro Gomez from Business Intelligence & Analytics
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Key Take-Aways From Gartner's 2015 Magic Quadrant For Business Intelligence And Analytics Platforms

Key Take-Aways From Gartner's 2015 Magic Quadrant For Business Intelligence And Analytics Platforms | BIG DATA | Scoop.it
Business Intelligence (BI) platforms grew 9% in 2013, and are projected to grow at a compound annual growth rate (CAGR) of 8.7% through 2018. By 2017, the majority of business users and analysts will have access to self-service tools to prepare data for analysis. These and other insights are from the  Magic [...]

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Rescooped by Pedro Gomez from Datascience
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How to Land a Big Data Job without being a Data Scientist

How to Land a Big Data Job without being a Data Scientist | BIG DATA | Scoop.it
Big data industry is growing rapidly so I wanted to list the out the best entry point possible. To land a big data job you don't need a data science degree although you will need the business acumen for data leadership. If you are already in customer centric or marketing roles you have better chance to add big data skills to your portfolio.

Via Hugo E
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Rescooped by Pedro Gomez from Big Data and Personalization
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The Amazing World of Fred's Big Data

The Amazing World of Fred's Big Data | BIG DATA | Scoop.it

Driving business agility, competitiveness and strength requires far more than Data Warehousing, Big Data, Business Intelligence or Machine Learning.


Via Vanrijmenam, Edward Chenard
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Rescooped by Pedro Gomez from Big Data Technology, Semantics and Analytics
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CEOs Not Seeing Big Picture On 'Big Data'

CEOs Not Seeing Big Picture On 'Big Data' | BIG DATA | Scoop.it
Nearly half of CEOs believe that all of their employees have access to the data they need, but only 27% of employees agree.

Via AnalyticsInnovations, Edward Chenard, Tony Agresta
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Rescooped by Pedro Gomez from IT News
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What if Big Data actually makes decision-making slower?

What if Big Data actually makes decision-making slower? | BIG DATA | Scoop.it

If you look at the idea of “Big Data” as simply as possible, it comes down to this value proposition: for years, people made decisions based off gut/intellect/past experience, and those decisions (for better or worse) drove the growth of the company in question. Now there’s a whole slew of information at our fingertips about what our customers are doing, what they’re looking for, how they’re spending time … and that’s supposed to make decisions quicker and more direct, with a focus on what really matters.

But, uh, what if that doesn’t happen? 


Via John Lasschuit ®™
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John Lasschuit ®™'s curator insight, February 17, 2015 1:59 PM

By Ted Bauer. The precise concept that began to develop as a more effective way to analyze behavior may, in fact, become a less effective way to do so.

Rescooped by Pedro Gomez from IT News
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Is it really possible to anonymise data?

Is it really possible to anonymise data? | BIG DATA | Scoop.it
As concerns rise about the use of your personal information online, Tamara Dull asks whether it is possible to anonymise data completely.

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John Lasschuit ®™'s curator insight, February 18, 2015 8:19 AM

Re-identification algorithms aren’t good or bad; it just depends on how they’re used.