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Big Data

Unintended Effects of Adblockers

January 18, 2016 by Brigg Patten

Nothing of quality in life is free. Most would agree with this statement. When it comes to the Internet, we have a wealth of knowledge available at our fingertips, information that would have required the investment time and money to acquire just a few short decades ago. In order for us to be able to maintain this availability, sometimes we have to pay a price.[read more]

The State of Complex Data in January 2016 [INFOGRAPHIC]

January 15, 2016 by Eran Levy

This infographic is based on independent research and surveys conducted by Ventana Research and the Aberdeen Group, and supports the notion that we have mentioned here more than once – i.e., that data complexity is on the rise. This is due to the size and number of data sources growing exponentially with each passing year due to technological advancements in data collection, storage and querying technologies, along with increased adoption of business analytics tools.[read more]

What’s in Store for Big Data Analytics in 2016

January 14, 2016 by Steve Sarsfield

It’s the time of year again for predictions on all sorts of topics. Worthy, solid predictions are often based on the past and present trends and then projecting those trends into the coming year. Since I spend a lot of time studying trends of big data and analytics, I’m going to offer my predictions for the upcoming year.[read more]

NoSQL and the Internet of Things

January 14, 2016 by Jim Scott

Internet of Things technology is a hot topic. You can’t read a tech news site without coming across at least one mention of IoT. But if you’re looking to take advantage of sensors, you will likely have to update your data store to handle the workload. Once you’re set up data-wise, get ready to monitor everything from weather and the environment to overseas factory floors and even fleets of trucks.[read more]

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How IoT Applications Can Help Businesses Grow Internally

January 7, 2016 by Xander Schofield

Many companies are still in the early stage of IOT adoption. However, by looking at already working IOT strategies, business managers might reconsider adopting the application to grow their business internally.[read more]

5 Predictions for Trends in Data, Analytics and Machine Learning in 2016

January 4, 2016 by Bruce Robbins

Having the ability to collect and explore complex data leads to an inevitable need to have a toolset to understand them. Tools that can present the information in these complex data as visual representations have been getting more mature and more widely adopted. We predict that in 2016 a new data centric semiotic, a visual language for communicating data derived information, will become stronger, grow in importance and be the engine of informatics.[read more]

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How to Recycle Old IT Equipment and Keep Your Data Safe

January 4, 2016 by Ryan Kidman

Whenever you plan on getting rid of your old IT equipment, including your mobile devices, you need to ensure that all of your data will remain safe and confidential. This entails removing all of the data so no one else can gain access to it and use it against you in any way.[read more]

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72% of People Aren’t Familiar with Hosted VoIP

January 4, 2016 by Josh Rose

VoIP is the concept of using the internet and cloud based servers to place calls instead of using traditional pbx boxes and phone cables. A universally understood example being Skype which allows you to video or audio call anyone around the world over the internet for free.[read more]

What Are You Contributing to the Big Data Revolution?

December 30, 2015 by Faizan Raza

It’s important to understand the side effects of Big Data, even as we embrace it every day. And yes, you’re embracing Big Data whether you like it or not. So what are some of the things you need to be aware of? Let’s take a look at the dark side of the force that is Big Data.[read more]

The Internet of Things Poses Advances and Challenges for Big Data

December 29, 2015 by Richard Larson

With an estimated 4 billion consumer devices coming online or being “connected” by the end of next year, we are in for a revolution in marketing, big data, privacy, and security all because of “the Internet of Things” (or IoT)[read more]

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Managing Projects in the Cloud

December 28, 2015 by Konstantin Rabin

Managing your projects the right way is certainly a key to get the most out of the resources at your disposal. Nevertheless, many organizations fail in identifying the most useful tool. In this article we will take a look at why your company should go for a cloud-based project management tool, identify the main benefits and also check one of the greatest options.[read more]

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Big Data in the Sports Industry

December 23, 2015 by Trisha Miller

Professional athletes everywhere are being asked to wear tech that will track their every move and download patterns of their stats. Will this help to improve the game or could the usage of big data destroy sports as we know it?[read more]

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Big Data Helps Alleviate Aviation Risk Management Problems

December 23, 2015 by Sarah Smith

Today, an increasing number of commercial airlines employ Big Data and real time analysis to help alleviate problems in many traditional areas of aviation risk management. Modern aviation safety management systems suggestion here can benefit from the creative use of these high tech tools in a variety of ways. Passengers have already begun to see the benefits.[read more]

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5 Innovative and Diverse Uses of Big Data

December 22, 2015 by Daniel Matthews
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As we move into 2016, it’s worth looking at how people are using big data to do what they do. It’s exciting. From these real-life cases you can learn a lot about what big data is up to—you’re getting a peek into the workings of companies who are using this stuff in real-time, in different ways. From this peek, you can draw some conclusions about trends for 2016, about how industries are going to be using big data.[read more]

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Are You Ready to Hire a Data Scientist?

December 21, 2015 by Rick Delgado

Big data is changing business. This is true for both large and small companies. But big data is not just about technology. The most important ingredient in making it work is hiring the right people.[read more]