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December 2013 Blog Posts (39)

Smart Use of Small Data Can Still Have a Big Impact

By: Nicholas Hartman, Director at CKM Advisors

This is a re-print of a post from ckmadvisors.com. The original post is available here.

Whenever I introduce the data analytics we do here at CKM, an ever increasing percentage of people will respond along the lines of “So like Hadoop / NoSQL / [insert generic ‘big data’ term]?”…

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Added by Nicholas Hartman on December 13, 2013 at 6:44am — No Comments

Has the pace of information growth started to slow?

It all started as a little data science project, possibly a job interview question for applicants: How would you compute the number of entries on Wikipedia.

The idea was to use large…

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Added by Vincent Granville on December 12, 2013 at 9:00pm — 2 Comments

Operational Data Science: excerpt from 2 great articles

The term "Data Science" has been evolving not only as a niche skill but as a niche process as well. It is interesting to study "how" the Big data analytics/Data Science/Analytics can be efficiently implemented into the enterprise. So, along with my typical study of analytics viz. Big data analytics I have been also exploring the methodologies to bring the term "Data Science" into mainstream of existing enterprise data analysis, which we conventionally know as "Datawarehouse & BI". This…

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Added by Manish Bhoge on December 12, 2013 at 7:30am — No Comments

Weekly Digest - December 16

Featured Articles

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Added by Vincent Granville on December 11, 2013 at 8:00pm — No Comments

Plotly: Multiple Axes Scales with Old Faithful Data, in R

Blog post on making interactive Plotly graphs with multiple y axis scales, with examples in R.

http://blog.plot.ly/post/69647810381/multiple-axes-scales-with-old-faithful-data…

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Added by Matthew Sundquist on December 11, 2013 at 1:02pm — No Comments

check out the best way to maximize natural gas supply to Boston during winter

During winter, most of the utilities, energy marketers , generators and commerical enterprises  want to maximize their supply for heating and other applications. 

so which is most cost effective supply of natural gas . natural gas is available in plenty but always comes at a cost.

check out our post on ; figuring out the most cost effective & optimized supply of natural gas to the city of Boston…

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Added by Parag Patil on December 11, 2013 at 6:45am — No Comments

My Data Science book: Chapter 7 completed

Chapter 7:  Launching Your New Data Science Career

268

  • 90 Job Interview Questions…
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Added by Vincent Granville on December 10, 2013 at 11:00am — 1 Comment

Big Data Applications Scaling Using Java Architecture in the Cloud

As an individual user, we are no longer living the world of one computer, rather we are living with living and distributed smart devices. Let us first explore a Single-User/Single-Server Architecture that we used in those times, which we survived, without of much hassle either, we still use this architecture most of the time.

A Single user still use to approach a network via a web application with a local front cache, which then allows user to access requested material as per the…

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Added by Atif Farid Mohammad on December 10, 2013 at 8:54am — No Comments

Few Tips to Directorial Job Searching Candidate

As said by great man Zig, "If you can dream it, you can achieve it. You will get all you want in life if you help enough other people get what they want." -Zig Ziglar ...

The following is an example, how I think, behave and perform, I hope this information helps:

A Director position holder must be:



~~~ A strategic thinker who provides thought leadership to projects and products



--- I always believed in "Strategic Thinking", it is a powerful…

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Added by Atif Farid Mohammad on December 9, 2013 at 9:07am — No Comments

Big Data and 2014

We are witnessing a paradigm shift in Data Environment. In recent years, Big Data has risen on the technology horizons and is under the aspect of efficient and cost effective management and analysis of vast amounts of data for both public and private organizations. There are several organizations, which are trying to harness this continuing data stream, and in 2014, several of these organizations will go about making this data available in real time .

Any organization, that want to…

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Added by Atif Farid Mohammad on December 8, 2013 at 10:05am — No Comments

Why statistical community is disconnected from Big Data and how to fix it

This discussion was posted on our large LinkedIn group (100,000+ members) by our friend Gregory, pictured below. It has generated a tremendous volume of great comments by a number top leaders. Below is some of my comments. You can read and participate in the discussion by clicking here.…

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Added by Vincent Granville on December 7, 2013 at 10:00am — No Comments

Developing a Big Data Strategy

As Google celebrates its 15th birthday, CeBIT’s DataCon2013 held from 9-10 October in Sydney marked the second year that we are talking about Big Data at big forums in Australia.  The buzz is getting louder and the discussion has changed from "Big Data, a hype" to "Big Data, a challenge" in just about 12 months.  As put forward in many white papers and blogs written in the last 10 years, Big Data is definitely the new frontier of innovation and productivity…

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Added by Marie Balce on December 6, 2013 at 11:28am — No Comments

Introduction to Predictive Analytics (video blog)

I recently presented at an event in Nashville introducing Predictive Analytics to the audience and demonstrating some live applications.  Here is the video: http://vimeo.com/80917063

Added by Venky Rao on December 6, 2013 at 2:36am — 1 Comment

Healthcare Informatics and Agile Project Management - Intro

Healthcare Information Management Systems need updates and changes as other industries. Agile Project Management that can be utilized to manage and implement these small or large healthcare informatics projects in small chunks of work. Agile projects deliver value to the hospital/clinic management in frequent small deliveries of product in terms of software updates, addition of new modules, and update of existing modules which can also be called features. We use the traditional Waterfall…

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Added by Atif Farid Mohammad on December 4, 2013 at 8:20pm — No Comments

Lambda Architecture for Big Data Systems

Big data analytical ecosystem architecture is in early stages of development. Unlike traditional data warehouse / business intelligence (DW/BI) architecture which is designed for…

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Added by Michael Walker on December 4, 2013 at 7:57am — 3 Comments

Banks Want More Wallet-Share? Stop Competing with Each Other.

In the late 1980s and early 1990s, the call center market was booming and it was truly the only way to give consumers access to service at their convenience while providing a vehicle for companies to up-sell and cross-sell products.  Before the Internet of things that was a very effective vehicle and to some degree, it still is.

Companies who were…

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Added by Tullio Siragusa on December 4, 2013 at 3:00am — No Comments

New in Plotly: Interactive Graphs with IPython

New! Plotly lets you style interactive graphs in IPython. Then, you can share your Notebook or your Plotly graph. It's like having the NYTimes graphics department inside your IPython.

You can also get these Notebooks on the Plotly GitHub page. Visit Plot.ly to see more documentation. …

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Added by Matthew Sundquist on December 2, 2013 at 12:30am — 2 Comments

“GHOST DEVELOPERS” AND BI CENTRE OF EXPERTISE: THE BELGACOM GROUP’S EXPERIENCE

 

Belgacom Group is the world 8th Telecom operator, it is 1st in Belgium for Mobile phone and landline services (e.g. 4,6 million mobile phone customers). The group employs 17 000 people, is owned (53, 5%) by the Belgium state and develop landline services under the brand names of Belgacom, Telindus, Skynet. Belgacom also develop a very specific approach for its strategic positioning by balancing the product leadership, prices competitiveness and the knowledge of its…

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Added by Michel Bruley on December 2, 2013 at 12:12am — No Comments

A New Source of Revenue for Data Scientists: Selling Data

What kind of data is salable? How can data scientists independently make money by selling data that is automatically generated: raw data, research data (presented as customized reports), or predictions. In short, using an automated data generation / gathering or prediction system, working from home with no boss and no employee, and possibly no direct interactions with clients. An alternate career path that many of…

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Added by Vincent Granville on December 1, 2013 at 9:00am — 2 Comments

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