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Vincent Granville's Blog – January 2014 Archive (14)

Weekly digest - February 3

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Added by Vincent Granville on January 29, 2014 at 11:30am — No Comments

Practical illustration of Map-Reduce (Hadoop-style), on real data

Here I will discuss a general framework to process web traffic data. The concept of Map-Reduce will be naturally introduced. Let's say you want to design a system to score Internet clicks, to measure the chance for a click to convert, or the chance to be fraudulent or un-billable. The data comes from a publisher or ad network; it could be Google. Conversion data is limited and poor (some conversions are tracked,…

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Added by Vincent Granville on January 25, 2014 at 11:30am — 2 Comments

Weekly digest - January 27

Announcement

Predictive Analytics World, March 16-21, 2014 in San Francisco is the business event for predictive analytics professionals, managers and commercial practitioners, covering today's commercial deployment of predictive analytics, across industries and across software vendors. The conference delivers…

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Added by Vincent Granville on January 22, 2014 at 7:30pm — No Comments

Three myths about data scientists and big data

Here are my reactions to the LinkedIn conversation about the "Statistical data scientists". In short, I believe that modern big data needs new ways of processing data, and that data scientists are polyvalent (versatile) with deep expertise in a few domains, across…

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Added by Vincent Granville on January 21, 2014 at 12:30pm — 4 Comments

Weekly digest - January 20

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Added by Vincent Granville on January 16, 2014 at 11:00am — No Comments

Data Scientist versus Business Analyst

Business analysts focus on data base design (database modeling, at a high level, including defining metrics, dashboard design, retrieving and producing executive reports and designing alarm systems), ROI assessment on various business projects and expenditures, and budget issues. Some work on marketing or finance planning and optimization, and risk management. Many work on high-level project management,…

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Added by Vincent Granville on January 16, 2014 at 9:00am — 3 Comments

Data Scientist versus Data Engineer

One of the main differences between a data scientist and a data engineer has to do with ETL versus DAD:

  • ETL (Extract/Load/Transform) is for data engineers, or sometimes data architects or database administrators (DBA).…
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Added by Vincent Granville on January 16, 2014 at 9:00am — 2 Comments

Data Scientist versus Data Architect

I recently had the following discussions with a number of data architects, in different communities, in particular (but not limited to) the TDWI group on LinkedIn. This is a summary of the discussion, featuring differences between data scientists and data architects, and how both can work together.

It…

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Added by Vincent Granville on January 16, 2014 at 9:00am — 2 Comments

Data Scientist versus Statistician

Many statisticians think that data science is about analyzing data, but it is more than that. Data science also involves implementing algorithms that process data automatically, to provide automated predictions and actions, such as:

  • Automated bidding systems…
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Added by Vincent Granville on January 16, 2014 at 9:00am — 2 Comments

Six categories of Data Scientists

We are now at 9 categories after a few updates. Just like there are a few categories of statisticians (biostatisticians, statisticians, econometricians, operations research specialists, actuaries) or business analysts (marketing-oriented, product-oriented, finance-oriented, etc.) we have different categories of data scientists. First, many data scientists have a job title different from data scientist, mine…

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Added by Vincent Granville on January 16, 2014 at 8:30am — 11 Comments

Weekly digest - January 13

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Added by Vincent Granville on January 8, 2014 at 11:00am — No Comments

The Data Science Association

Looks like a new association recently created. Their resource section (see extract below) looks very interesting.…

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Added by Vincent Granville on January 8, 2014 at 10:27am — No Comments

Data Science for Business: Interview with NYU Stern’s Foster Provost

Interesting article. I have the same point of view, had the same problem and did the same thing:  

Provost noticed during his data classes that there weren’t any books he could recommend to his MBA students that taught the fundamental principles. They were either too granular and focused on the math, or else too…

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Added by Vincent Granville on January 8, 2014 at 10:17am — No Comments

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