Information about provided services, customers and transactions can be stored in different database systems and data warehouses, depending on the way in which a company operates.
Due to such arrangements, even the simplest analyses or report may require significant expenditures of time, as well as in-depth knowledge about database systems and their availability.
For an analyst this situation is frequently the source of difficulties – lack of required…Continue
Added by Algolytics on July 24, 2015 at 6:00pm — No Comments
A Quick chart illustrating the top Data Science keywords. The data was grabbed from this article. …Continue
Added by Nilesh Jethwa on July 24, 2015 at 12:00pm — No Comments
One question I get asked a lot by my clients recently is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are not directly comparable products, they both have many of the same uses.…Continue
Infographic based on the article:Continue
Quick chart comparing Bigfoot vs UFO news/search activity.
Bigfoot and UFO remain elusive but know their ways to make news from time to time.
Looking at the Google Trends data for both the entities we clearly see the spikes in their news activities.…Continue
Added by Nilesh Jethwa on July 24, 2015 at 6:00am — No Comments
"In fact men will fight for a superstition quite as quickly as for a living truth - often more so, since a superstition is so intangible you cannot get at it to refute it, but truth is a point of view, and so is changeable."
On the 1st of July, I…Continue
Added by Martyn Jones on July 23, 2015 at 5:18pm — No Comments
I recently started reading Gary's blogs and thought we shared both a point of view (a higher level what's good for the business POV) and that little voice in the back of our heads that's always asking - is that really true? Hope you enjoy this one. Many of Gary's current blogs appear here.…Continue
Added by William Vorhies on July 23, 2015 at 8:30am — No Comments
The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday. The picture of the week is from the contribution marked with a +, where you will find the details.
Added by Vincent Granville on July 22, 2015 at 12:30pm — No Comments
Today’s marketers are becoming technically savvier. They understand the need to improve customer experiences or implement digital marketing strategies to engage consumers across channels. Customer retention and acquisition, Big Data, social media marketing,…Continue
Added by Larisa Bedgood on July 22, 2015 at 10:10am — No Comments
This is a continuation of the ‘how to become a data scientist conversation’ (see “So You Want to be a Data Scientist”…Continue
"Consumer Law is recognized as a specialty area of law1 dealing with
issues arising from transactions involving one or more persons acting as
individuals or as a family. It typically includes the legal fields of
bankruptcy, credit discrimination, consumer banking, warranty law, unfair
and deceptive acts and practices, and more narrow topics of consumer law
such as consumer protection…
Added by Nilesh Jethwa on July 22, 2015 at 8:30am — No Comments
In the past couple of months we have seen several major cyber attacks ranging from the New York Stock Exchange (NYSE) to American Airlines. In addition these well known breaches more than 150 other major data breaches have occurred. This has resulted in the theft of more than 250 million confidential records. Naturally this concerns many large organizations and is leading to massive security infrastructure over halls amongst many fortune 500 organizations.
Added by David Schwartz on July 22, 2015 at 8:00am — No Comments
7 Skills to Become a Better Data Scientist
Everyone in every profession and aspect of life should strive to become better each day. As the saying goes "the practice makes the master". Here I outline 7 skills/attitudes we can have to become belter data scientists.
1. Cultivate "intellectual curiosity":
Intellectual curiosity is an important pre-disposition for a data scientist. We cultivate and sharpen it by "always wanting to know a bit more…
Please see the following list of videos that I have created to document some of Asters 120+ Analytic Functions:
Aster Analytic Learning Series
Added by John Thuma on July 21, 2015 at 4:30pm — No Comments
I recently read a Harvard Business Review (HBR) article “You need an algorithm, not a data scientist”. The author (from an analytics vendor) argues that:
Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically categorizing them using indexation and automated tagging…Continue
Added by Vincent Granville on July 21, 2015 at 11:00am — No Comments
We’ve had software as a service, platform as a service and data as a service. Now, by mixing them all together and massively upscaling the amount of data involved, we’ve arrived at Big Data as a Service (BDaaS).
It might not be a term you’re familiar with yet – but it suitably describes a fast-growing new market. In the last few years many businesses have sprung up offering cloud based Big Data services to help other companies and organizations solve their data dilemmas.…Continue
This infographic was originally published by Intel and can be found here. It dates back to 2014 but still provides a very comprehensive view of this fast expanding field.…Continue
Added by William Vorhies on July 20, 2015 at 8:59am — No Comments
Image processing is a mathematically intensive operation & one of the biggest areas of research for a big data field. Image processing analytics has applications from processing a X-Ray to identifying stationary objects in a self…Continue
Added by Pansop on July 20, 2015 at 12:11am — No Comments
Added by Mirko Krivanek on July 19, 2015 at 7:30am — No Comments