We have witnessed the rise of Key & Value pair, since the emergence of Big Data. We certainly can explore the relationship of such two variables in terms of X & Y, to be worked with in terms of using Data Science. The use of Regression also on basic terms gives an a depiction of two variables X & Y to work with. These variables are:
Independent Variables & Dependent Variables
Let us take behavior of users of a… Continue
Added by Atif Farid Mohammad on May 25, 2015 at 6:00am —
Buzz words are one of my least favorite things, but as buzz words go, I can appreciate the term “Data Lake.” It is one of the few buzz words that communicates a meaning very close to its intended definition. As you might imagine, with the advent of large scale data processing, there would be a need to name the location where lots of data resides, ergo, data lake. I personally prefer to call it a series of redundant commodity servers with Direct-Attached Storage, or hyperscale computing with… Continue
Added by Randall V Shane on May 21, 2015 at 3:13pm —
Added by Randall V Shane on May 2, 2015 at 4:30pm —
A Big Top Circus has three main tents. What does this have to do with data? Many things. The Big Three, the Birth index, SSI index, and the Death index determine if you are an American or not. An entry in any one of these indexes is a reason for calling it what ever you want capitalism, freedom, justice, etc… Now if you are listed in all three indexes the privilege is unique. It is the privilege of being sold to the highest corporate bidder.… Continue
Added by Sigmond Axel on May 2, 2015 at 3:48pm —
Data is everywhere and growing. As a marketer, this is a dream world. Your audience is generating tons of data from your web visits, mobile apps and you have partners giving you data. This is rich customer journey data.
However commonly used terms like Big Data and Analytics can mask the complexity of realizing your ROI gained from analyzing all this data. The promise of the visual tools and Hadoop based platforms is all great but if you don't have a data strategy in place all the… Continue
Added by Sri Desikan on April 27, 2015 at 1:05pm —
Good day and my warmest hellos from Montreal, Canada to all members of the Data Science Central virtual community.
I have recently joined this very interesting, bountiful and multi-sub-disciplinary web site in the data science field and admittedly I’m still exploring all of its numerous knowledge facets.
In order to introduce myself to all of you I thought it would be à propos to use the project I’m currently working on as a window to my expertise, which compared to all of you,… Continue
Added by Sylvie Leduc on April 25, 2015 at 6:00pm —
Retailers know they need Big Data and are charging forward to get in the game. But many retailers continue to face challenges. What type of data should be collected? How should the data be used to generate insights? How do I measure ROI?
Why Retailers Use Big Data
101data recently surveyed US retailers, across a range of sizes. When asked about which processes would be most impacted by Big Data technology, 50% stated that targeted offers and promotions would have the biggest… Continue
Added by Larisa Bedgood on April 23, 2015 at 7:30am —
In three previous posts, I made an attempt to describe Data Mining, Data… Continue
Added by Khosrow Hassibi on April 22, 2015 at 11:00am —
Most of us would probably like to work in a profession recognised for its legality, decency and honesty. At least I hope so. In my line of work, what we have right now is palpable evidence that the IT industry lacks a reliable moral compass.
Imagine this. A major sensationalist tabloid pulls… Continue
Added by Martyn Jones on April 19, 2015 at 10:30pm —
What on earth makes the world go round?
- Is Big Data the next President of the United States of America?
- Can small people create Big Data?
Well, your guess is not far from the truth! Gone are the days when big machines were the gizmo for nerds and geeks! Today, there is a revolutionary paradigm shift in favor of small machines with capacity for big data!
Businesses are going online at a rate never imagined before in the entire history of the… Continue
Added by Christopher Alvin Mokaya on April 15, 2015 at 10:00pm —
Primed to make a huge entrance in 2015, Data-as-a-Service (DaaS) empowers companies with real-time data to overcome tough challenges with data. DaaS is allowing companies to generate real-time insights and revenue from Big Data. Companies commonly report feeling overwhelmed solely by the mere size of big data, not to mention the processes necessary to use the data. This no longer has to be a reality. With DaaS using big data is no longer a couple month long process.
What is… Continue
Added by Larisa Bedgood on April 7, 2015 at 12:30pm —
Through years, working with different clients and applications, I have found a set of data mining general principles that also hold through in the context of big data. These are all listed in my book. Here I enumerate them using the terminology I have used in the book:
- Use of “all the data” is not equivalent to building the deepest Analytics Dataset (ADS) in terms of…
Added by Khosrow Hassibi on April 3, 2015 at 9:30am —
Big Data, Data Sciences, and Predictive Analytics are the talk of the town and it doesn’t matter which town you are referring to, it’s everywhere, from the White House hiring DJ Patil as the first chief data scientist to the United Nations using predictive analytics to forecast bombings on schools.… Continue
Added by Zeeshan Usmani on March 28, 2015 at 4:03pm —
What we’ve been told
We’ve been told that Big Data is the greatest thing since sliced bread, and that its major characteristics are massive volumes (so great are they that mainstream relational products and technologies such as Oracle, DB2 and Teradata just can’t hack it), high variety (not only structured data, but also the whole range of digital data), and high…
Added by Martyn Jones on March 12, 2015 at 8:17am —
The subject of this blog might seem rather rudimentary for those who fully understand the importance of properly managing data. For those people, hopefully, you will find the post worth reading and provide constructive feedback and augment the discussion. The purpose of this post is to highlight the necessity to keep data clean and orderly so that the results of the analysis are reliable and trustworthy - if data integrity is intact, information derived from this data will be trustworthy… Continue
Added by Randall V Shane on March 8, 2015 at 12:00pm —
At the CES 2015, I was fascinated by all sorts of possible applications of IoT – socks with sensors, mattresses with sensors, smart watches, smart everything – it seems like a scene in sci-fi movies has just come true. People are eager to learn more about what’s happening around them and now they… Continue
Added by Yuanjen Chen on February 4, 2015 at 2:00pm —
(Reprinted from http://rocketdatascience.org/?p=157 )
Data Innovation Day was celebrated on January 22, with many excellent events, including these:
In honor of the event, I prepared the… Continue
Added by Kirk Borne on February 3, 2015 at 9:46am —
Human resources analytics can provide businesses the keys to improving processes, reducing workforce costs and making the right policy changes to improve efficiency. Leaders in the space and speakers from the upcoming… Continue
Added by Alesia on January 20, 2015 at 12:00pm —
Originally posted on my blog.
I do kinda feel like my head is full!
My context switching penalty is high and my process isolation is not what it used to be.
- Elon Musk, Reddit AMA, Jan 5, 2015
Cognitive load is a term applied to the overall effort used in working memory for an… Continue
Added by Christopher Hogue on January 15, 2015 at 2:30pm —
A common misconception about Big Data is that it is a black box: you load data and magically gain insight. This is not the case. As this New York Times article “For Big-Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insights” describes, loading a big data platform with quality data with enough…
Added by Sullexis LLC on January 13, 2015 at 11:43am —