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May 2015 Blog Posts (66)

Where Big Data Projects Fail

Over the past 6 months I have seen the number of big data projects go up significantly and most of the companies I work with are planning to increase their Big Data activities even further over the next 12 months. Many of these initiatives come with high expectations but big data projects are far from fool-proof. In fact, I predict that half of all big data projects will fail to deliver against their expectations.

Failure can happen for many reasons, however there are a few…

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Added by Bernard Marr on May 11, 2015 at 12:00pm — 3 Comments

How To Make A Billion Dollars From Big Data

Among the new faces making their debut on the Forbes 2015 billionaires list are a growing number who have made their fortunes from Big Data.

These Big Data billionaires are at the top of their game – all of them have built empires on their ability to collect, interpret and use data in ways no one had thought of…

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Added by Bernard Marr on May 11, 2015 at 12:00pm — No Comments

Polyglot Persistence?

Summary:  Yes it’s a real phrase and it’s the secret to picking the right NoSQL…

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Added by William Vorhies on May 11, 2015 at 7:04am — No Comments

Are You Becoming a Digital Dinosaur?

 

 Digital disruption is happening everywhere you look. It is impacting businesses of any size, in any industry, market and geography. 
Digital technology is changing the way we socialize, communicate, research, learn and work.
If organizations do not adapt to this fast-changing paradigm, then extinction may be closer than they…
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Added by Sandeep Raut on May 9, 2015 at 4:37am — No Comments

Data Science and the Open World Assumption

A funny thing happened in the last few years. We began to lose the Closed World Assumption.

Now I can understand that this is not exactly huge, earth-shattering news; most people do not in fact realize that they've been using the Closed World Assumption to begin with. However, I'd contend that this event is having a transformative effect upon the way…

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Added by Kurt Cagle on May 7, 2015 at 8:32pm — No Comments

The Amazing Ways Uber Is Using Big Data

Uber is a smartphone-app based taxi booking service which connects users who need to get somewhere with drivers willing to give them a ride. The service has been hugely controversial, due to regular taxi drivers claiming that it is destroying their livelihoods, and concerns over the lack of regulation of the company’s drivers.…

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Added by Bernard Marr on May 7, 2015 at 4:30pm — No Comments

From Farming To Big Data: The Amazing Story of John Deere

US agricultural manufacturer John Deere has always been a pioneering company. Its eponymous founder personally designed, built and sold some of the first commercial steel ploughs. These made the lives of settlers moving into the Midwest during the middle of the 19th century much easier and established the company as an American legend.

Often at the forefront of innovation, it is no surprise that it has embraced Big Data enthusiastically – assisting pioneers with the taming…

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Added by Bernard Marr on May 7, 2015 at 4:30pm — No Comments

Giving away 1,000 copies of Big Data In Action.

We are giving away 1,000 copies of our eBook "Big Data In Action" featuring real world use cases of how big data is being used by companies to achieve tremendous success.

Case studies illustrated in the book…

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Added by Rocket Pencil Press on May 7, 2015 at 11:00am — 2 Comments

Using Python on Azure Machine Learning Studio

AzureML is the cloud hosted machine learning platform on top of Microsoft’s cloud platform. Readers of Data Science Central will realize that AzureML have hosted a few webinars…

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Added by Vozag on May 6, 2015 at 9:58pm — No Comments

How to Analyze Your Predictable Data: Anomaly Detection

There is…
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Added by John Geer on May 6, 2015 at 3:30am — No Comments

Good Cloud. Bad Cloud. Why Cloud?

cloud over chessboard

Article written by OpenText Director of Industry Marketing, Deb Miller 

Confused about the cloud? You're not alone. Adoption is projected to grow at double…

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Added by Michael Singer on May 5, 2015 at 12:00pm — No Comments

Weekly Digest - May 11

The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday.

Announcements

  • How do you leverage IoT for proactive and predictive maintenance in manufacturing? What's the future of manufacturing? Do you know the top 10 ways to increase yields, reduce costs & increase efficiencies? Predictive…
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Added by Vincent Granville on May 5, 2015 at 11:00am — No Comments

Selecting a Remote DBA Professional over a Full-Time Consultant

Guest blog post by Jenny Richards.

Today’s digital world demands information to reside in databases. The ability of a business to manage information can be the difference between death and life. Like it or not, the world today is digital. Organizations need information to survive.

Every year, the amount of data that is stored in databases continues to grow tremendously. When you compound this fact with the current global economy, you will notice that a database plays…

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Added by Vincent Granville on May 5, 2015 at 9:46am — No Comments

Are You A Data Hoarder? Learn How to Manage the Clutter

Many businesses are feeling the pressures of data overload. Consequently, many businesses have databases that look like the picture below.

Businesses are stockpiling more data than ever before. From machine-generated data, social sentiment, transactional data, and emails, many companies feel as if they are drowning in data. According to a report by the…

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Added by Larisa Bedgood on May 5, 2015 at 9:39am — No Comments

Data Scientists Thoughts that Inspired Me

Recently I read book "Data Scientists at Work by Sebastian Gutierrez.

The sixteen data scientists across sixteen different industries were interviewed to understand both how…

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Added by San Sanych on May 4, 2015 at 10:00am — No Comments

From Data to Insight: Uncovering the Hidden Costs of Data

If you’re planning on a data driven approach, you’re going to need data, most likely from a nice mix of sources that will give you the right amount of insight you need to make it worthwhile.



But if you’re not careful, you can quickly spend a lot of money getting it whether it’s “free” or not. Because as much as we’d like it to be, most of it is definitely not free, even if it is on an open and…

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Added by Anne Russell on May 3, 2015 at 12:14pm — No Comments

Sensitivity Mapping of Document Databases

I rarely get to use a walkie-talkie during a course in school. As the snapshot of my desktop shows on the image below, I had both a multi-line telephone and portable radio. Just before the exam, I participated in a simulation. Our tabletop exercise contained an emergency scenario: a train derailment involving the evacuation of residents. I served as the Social Services Director. Although I didn't choose this role for myself, I thought it made sense given my graduate degree in the area of…

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Added by Don Philip Faithful on May 3, 2015 at 6:04am — No Comments

Early reviews for my upcoming publication on Machine learning

Hi all... I have my new publication on large scale machine learning with Packt publishers coming up in the next few months. Request help from experts in machine learning for help. Please inbox me interest to [email protected] and 

A quick note on the scope of content covered in the book:

 Practical Machine learning - to be published by Packt

This book focuses on exploring all the Machine Learning techniques and some specific behavioral…

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Added by Sunila GOLLAPUDI on May 2, 2015 at 8:01pm — No Comments

Analyzing customer data in sales & marketing – part 2

In the previous post we presented a few methods of data analysis, which are used to identify customer needs and preferences and allow us to predict their behavior. Such knowledge results in building better marketing and sales offers which meet specific customer expectations.

In today’s article we present further examples of Data Mining methods that can be applied in daily business operations.…

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Added by Algolytics on May 2, 2015 at 5:30pm — No Comments

Data Integrity: The Rest of the Story Part I

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Added by Randall Shane on May 2, 2015 at 4:30pm — No Comments

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