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July 2015 Blog Posts (82)

Analytical Data Marts – data analyst’s indispensable tool

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…


Added by Algolytics on July 24, 2015 at 6:00pm — No Comments

Most popular Data Science keywords - Visualization

A Quick chart illustrating the top Data Science keywords. The data was grabbed from this article

Most popular Data Science keywords -…


Added by Nilesh Jethwa on July 24, 2015 at 12:00pm — No Comments

The Big 'Big Data' Question: Hadoop or Spark?

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.

Source for picture: …


Added by Bernard Marr on July 24, 2015 at 11:00am — 4 Comments

Bigfoot vs UFO - Analyzing and Visualizing Keywords Trends

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.…


Added by Nilesh Jethwa on July 24, 2015 at 6:00am — No Comments

The Big Data Contrarians: The Agora for Big Data dialogue on LinkedIn

"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 decided to set up a professional group on LinkedIn in order to create a hype free…


Added by Martyn Jones on July 23, 2015 at 5:18pm — No Comments

Analytics and Big Data: The Skeptics Versus the Enthusiasts

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.…


Added by William Vorhies on July 23, 2015 at 8:30am — No Comments

Weekly Digest - July 27

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.


  • Predictive Analytics World for Business, September 27 - October 1 in Boston,…

Added by Vincent Granville on July 22, 2015 at 12:30pm — No Comments

The Ultimate Beginner’s Guide to Data Quality and Business Intelligence

The Ultimate Beginner’s Guide to Data Quality and Business Intelligence

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,…


Added by Larisa Bedgood on July 22, 2015 at 10:10am — No Comments

Getting a Data Science Education

Summary:  Once you’ve decided to become a data scientist, where should you get your education?

This is a continuation of the ‘how to become a data scientist conversation’ (see “So You Want to be a Data Scientist” at…


Added by William Vorhies on July 22, 2015 at 9:30am — 3 Comments

Average attorney rate jumps 85% after first year in practice

"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

Are You Concerned Over Systems Security? Cloud Systems Can Be Vulnerable.

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

List of All Aster Videos on Advanced Analytics

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

"You need an algorithm, not a Data Scientist". Um...not quite

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:

  1. Companies are increasingly trying to do more analysis of their data to find value and are hiring people…

Added by Guerrilla Analytics on July 21, 2015 at 11:00am — 4 Comments

31 external machine learning / data science resources and articles

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…


Added by Vincent Granville on July 21, 2015 at 11:00am — No Comments

The Next Big Thing In Big Data: BDaaS

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.…


Added by Bernard Marr on July 20, 2015 at 1:00pm — 1 Comment

A Guide to the Internet of Things - Infographic

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.…


Added by William Vorhies on July 20, 2015 at 8:59am — No Comments

9 Python Libraries Which Can Help You In Image Processing

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…


Added by Pansop on July 20, 2015 at 12:11am — No Comments

7 Python Tools All Data Scientists Should Know How to Use

This reference was first posted here on Galvanize by Dynelle Abeyta, and several authors contributed.

Here we provide a…


Added by Mirko Krivanek on July 19, 2015 at 7:30am — No Comments

A pletora of big data infographics

A lot of interesting images can be found on Google. You can search for machine learning cartoons, fake data scientists, Excel maps or any keyword, and get a bunch of interesting images or charts, though the images barely change over time (Google algorithms are very conservative).

Anyway, here's some really interesting stuff. It definitely proves how popular infographics are, and the growth of big data. Many of these infographics are of high quality, well thought out and based on real…


Added by Mirko Krivanek on July 19, 2015 at 7:30am — No Comments

Big Data Analytics in a Snap

The idea of "big data" could conjure up Turing-like images of massive cloud storage centers humming away in a dessert. It's true that up to this point, computing power has been a barrier to analytics, research, and the exploitation of big data. It takes a lot of computing power to process increasingly complicated and elaborate data sets. Companies, therefore, must…


Added by Yuanjen Chen on July 17, 2015 at 11:30am — No Comments

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