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Data Mining

Is Data Science a Liberal Art?

April 25, 2016 by George Mount

In the sense that all science is a liberal art, yes.This week I read a great piece by Adam Weinberg, the president of Denison University, on his school’s initiatives to apply a liberal arts approach to data science.This is shocking to most, but why? Let’s diagram this phrase “data science” (English skills!). Data is information — let’s...[read more]

The Panama Papers- It’s all about the data!

April 8, 2016 by Jagadish Thaker

The Panama Papers has set an excellent example for the world about the importance of data science when it comes to analyzing big data. This leak makes us realize that appropriate approaches are needed to handle the challenges of data management for the present and the future.[read more]

The Standard Method of Performing Transposition

April 7, 2016 by Jim King

Sometimes the source data needs to be transposed before displaying it in the report. But cross table can only handle the most basic transposition. Most of the scenarios need to be dealt with using SQL, report script or Java script. Each way has its own trick with high degree of difficulty.  esProc supports dynamic scripting, order-...[read more]


Current Events Are A Goldmine of Data: Here’s How to Get Ahead

March 22, 2016 by Daan Pepijn

It does not matter if you are in the healthcare, fashion, sports, or any other industry. Your market is affected by the buzz and excitement around certain events. It could be a new major social network, a new automation app, a Google algorithm update, or a cultural movement that affects the views of your market.Having adequate visibility...[read more]


Companies Paint Colorful Picture with Big Data

March 21, 2016 by Jessica Oaks

Big data is extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. Here is how major brands utilize data.[read more]

How Hadoop Revolutionised IT

March 5, 2016 by Martyn Jones

This is the story of how the amazing Hadoop ecosphere revolutionised IT. If you enjoy it then consider joining The Big Data Contrarians.Before the advent of Hadoop and its ecosphere, the IT was a desperate wasteland of failed opportunities, archaic technology and broken promises.In the dark Cambrian days of bits, mercury delay lines and...[read more]


Solve Data Issues with Cloud Database Management Systems

March 3, 2016 by Jenny Richards

There are several cloud database management systems that have been developed for the purpose of storage and analysis of both relational and non-relational types of data.[read more]

Apache Drill vs. Apache Spark: What’s The Right Tool for the Job?

March 1, 2016 by Jim Scott

If you’re looking to implement a big data project, you’re probably deciding whether to go with Apache Spark SQL or Apache Drill. This article can help you decide which query tool you should use for the kinds of projects you’re working on.[read more]


No Time to Waste! 5 Essential Features for Your Information Intelligence Solution

February 29, 2016 by Luca Scagliarini

Strategic information analysis is one of the most important activities that your company can perform. The fruits of this labor, especially when consolidated throughout the organization, inform everything from marketing and innovation, to risk management activities. To achieve this level of performance, you’ll need more than a simple...[read more]

A Guide to Spark Streaming - Code Examples Included

February 25, 2016 by Jim Scott

Apache Spark is great for processing large amounts of data over large clusters, but wouldn’t it be great if you could process data in near real time? You can with Spark Streaming.[read more]


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]


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]


Beer Brands Look to Big Data for Insights

December 15, 2015 by Jessica Oaks

To ensure that your brew is the one the next customer buys, you have to know the customer. Not just who he is and what he wants but also where he is and what he reads and when he buys and a host of other data points. Only then is real competition possible.[read more]


Is Big Data Winning or Losing?

December 9, 2015 by Josh Rose

Big data is now used everywhere. AT&T has a database of 312 terabytes, the NSA use 30 million gigabytes a day and Facebook user share 30 billion pieces of content daily. There is big money and big opportunity in big data. Huge scale tools are being created all the time to benefit our existence and to make our lives easier. However these tools can sometimes be easier to cheat than other systems.[read more]

Using Big Data to Track and Measure Emotion

November 27, 2015 by Andrew Lamrock

In June, Forrester’s researcher Megan Burns caused a bit of a stir during New York Forrester’s Forum For Customer Experience Professionals proclaiming, that among the three customer experience dimensions – ease, effectiveness, and emotion, the last one plays the biggest role.[read more]