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5 Ways Hadoop Can Help Healthcare Organizations and You

November 23, 2014 by Sameer Nori

Hadoop and healthcare

There are many different use cases for Hadoop in healthcare. Some of them include helping doctors, patients, and healthcare organizations include personalized treatment planning, assisted diagnosis, fraud detection, and monitoring patient vital signs. Learn how Hadoop is being implemented in each of these use cases.[read more]

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5 Common Use Cases for Hadoop in Retail

November 20, 2014 by Sameer Nori

Hadoop in retail

Retailers can focus on the shopper as an individual, rather than aiming at the masses and hoping to snag a few. Where there once were customer panels, in-store surveys, focus groups, and guesswork, there is now social media, online search behavior, and easy-access customer input.[read more]

Smart Ways of Using Google API for Optimum Results

November 20, 2014 by Jason Bowden

Google API (Image: www.mtmpro.net)

There are many Google API services that can be used by digital marketers to their business advantage. Utilizing these APIs as web applications for digital marketing can help boost the data analytics, accuracy, compatibility and speed of your business applications with Google services.[read more]

First Look: Dataiku’s Data Science Studio

November 20, 2014 by James Taylor

Dataiku

Dataiku, a company founded in 2013 and based in France, launched their product, Data Science Studio (DSS), in February 2014. The product is designed to improve the effectiveness and productivity of data teams especially when it comes to turning raw data into an analytic API.[read more]

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Spotlight on Traitify: Who The Hell Are You, Anyway?

November 18, 2014 by Shawn Gordon

Traitify

DataWeek/API World this past September earned my ink as an overall exceptional conference, and as a spotlight on big data company SiSense. I did not, however, cover any of the API companies in attendance, other than a brief mention. But one I found super interesting and compelling is Traitify.[read more]

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IT MPG: Measuring the Value of IT Is Simple Math

November 14, 2014 by Bob Dvorak

Nearly 65 percent of U.S. organizations reported an increase in IT budgets in 2014, according to the annual SIM IT Trends Study, with the average percentage of revenue allocated to IT this year at more than five percent. But what exactly do we get for all that money?[read more]

What Are Your Big Data Application Options?

November 10, 2014 by MIKE20 Governance Association

big data options / shutterstock

Hadoop is an excellent tool for collecting and sorting massive volumes of data, but businesses must also use analytics and visualization tools on top of Hadoop in order to reap the full benefits from big data. Here’s a quick list of apps to successfully manage and leverage the massive amounts of information generated as organizations grow.[read more]

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6 Ways Big Data Hadoop Is Helping America Become Energy Independent

October 31, 2014 by Sameer Nori

Energy.

Hadoop is a significant aid in streamlining the oil and gas production industry, from testing and verifying potential drilling sites and oil extraction to ensuring equipment safety and minimizing environmental damage. Below are some specific Hadoop use cases in the oil and gas industry.[read more]

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Where Do You Draw the Line Between Relevancy and Privacy?

October 30, 2014 by Tamara Dull

The Big Data MOPS Series. 

We have a love/hate relationship with ads. Whether they’re on television, in our favorite publications, or online, we love them if they’re relevant and interesting, or get annoyed when they get in the way of [insert whatever we’re doing]. I have to admit: I rarely watch a television show in real-time anymore. I’ll record a show, wait 20+ minutes, and “chase the show” with the recording—ad-free.[read more]

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How Governments Can (and Should) Use Hadoop

October 30, 2014 by Sameer Nori

Government and Hadoop.

While open record acts permit citizens to request data in a timely manner, the requested data is often scattered across several platforms. IT teams may have trouble locating and compiling all of it in a timely manner. Hadoop can improve efficiency and accountability by storing multiple data sets, retaining them for years, and combining them to meet specific data requests.[read more]

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Hadoop in Advertising: How Big Data Helps Make Smart Decisions

October 27, 2014 by Sameer Nori
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Advertising.

Data is, unquestionably, everywhere. Our computers, tablets, and mobile phones, our social media conversations, likes and follows, the emails we opt in to and those we open or delete, provide a constant flow of information. What do we like? What do we want? And, what services might we need?[read more]

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4 Ways Hadoop Is Improving Our Healthcare System

October 24, 2014 by Sameer Nori

Hadoop in healthcare.

With new medical advances every day, it’s no surprise that the healthcare field has a bold new technology that allows doctors and researchers to more easily access and learn about diseases, treatments, and cures. This technology, Apache Hadoop, is a big data storage and processing platform that gives healthcare providers the ability to effectively use much more data than has ever been possible.[read more]

5 Reasons Organizations Use Hadoop [INFOGRAPHIC]

October 23, 2014 by Mark van Rijmenam

Hadoop.

Hadoop, which as named after the elephant toy of the inventor of Hadoop, was developed because the existing data storage and processing tools appeared to be inadequate to handle all the large amounts of data that started to appear after the internet bubble.[read more]

The Rise of Hadoop [INFOGRAPHIC]

October 21, 2014 by Zach Taiji

Hadoop.

Since 2005, Hadoop has been the foundation for hundreds of big data companies, due to its open-sourced nature. Over 170 well-known companies have contributed to its development since launch, and the project is currently valued at over $2 billion.[read more]

NoSQL vs. SQL: An Overview

October 17, 2014 by MIKE20 Governance Association

SQL.

While SQL still has a future and won’t be going away anytime soon, NoSQL is really the key to future success with big data and cloud computing. It’s flexibility, scalability and low cost make it a very attractive option. Additionally it’s ability to gather and analyze unstructured and unpredictable data quickly and efficiently mean it’s a great option for companies with those needs.[read more]