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All Blog Posts Tagged 'logistics' (4)

How Data Science Has Changed Everyday Life for the Better

Let’s be honest, today “big data” is sort of a dirty word in the public consciousness. It is associated closely with profit maximization techniques (such as recommendation lists on e-commerce sites and targeted ads), high-profile data leaks and privacy issues.

People do not like being a bundle of unsecured big data tied to a bank account. They want to be unique. Yet…

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Added by Darren Beauchamp on May 24, 2017 at 5:30am — 2 Comments

The Decision Frame

There are a number of movies that I consider much more suitable for television than theatre: Alien Versus Predator; Doom; Snakes on a Plane; The Cave; The Colony. The stories of these movies play out in environmentally-limited sometimes enclosed settings. In the theatre, I considered Alien Versus Predator the worst movie I ever had to sit through in my entire life, second perhaps only to the original Tron. But at home on a 36-inch display, it has become one of my all-time favourites. On the…

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Added by Don Philip Faithful on September 28, 2015 at 6:24am — No Comments

Variable Metrics Formats for Mass Data Assignments



I created this blog to further discuss the issue of mass data assignments, a methodology that allows qualitative data events to be incorporated into metrics such as performance indicators. These assignments are routine for me now after having developed a prototype. However, I am unaware of the prevalence of this or similar techniques in the broader community. So I periodically work the topic into my blogs to help stimulate discussion. When quantitative data exists, it means that we had…

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Added by Don Philip Faithful on November 22, 2014 at 8:18am — No Comments

Big Data Logistics: data transfer using Apache Sqoop from RDBMS

Apache Sqoop is a connectivity tool to perform data transfer between Hadoop and traditional databases (RDBMS) which contains structured data. Using sqoop, one can import data to Hadoop Distributed File System from RDBMS likeOracle, Teradata, MySQL, etc… and also export the data from Hadoop to any RDBMS in form of CSV file or direct export to databases.

There is a possibility of writing mapreduce programs that would use jdbc connectors…

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Added by Pavan Kumar N on March 8, 2014 at 1:12am — No Comments

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