Data Mining Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information. It is sometimes used synonymously with […]
In this era of big data and data lakes, has the enterprise data warehouse become irrelevant? The Data Warehouse under pressure Maintaining an enterprise data warehouse is an expensive affair, between software […]
It is time we view data for what it really is: an Asset. Collecting data (a whole lot of data) has begun to get trendy as more and more companies are starting […]
Here is an actual LinkedIn sponsor ad: “In just 12 weeks, you’ll learn the tools, techniques, and fundamental concepts you need to know to make an impact as a data scientist. During […]
I was reading an article in BusinessWeek titled “Kill Your Desk Chair” where the article cites the following “fact”: A recent study, from the Pennington Biomedical Research Center in Baton Rouge, LA, […]
I am writing a series of blog posts based on a paper from a colleague, Andreas Tolk. Andreas is presenting a paper entitled, “The Next Generation of Modeling & Simulation: Integrating Big […]
In New Zealand, they are taking a “Moneyball” approach to optimizing social worker spending and focus attention can be most effective. A recent article in BusinessWeek “A Moneyball Approach To Helping Troubled […]
In “Thinking Like a Data Scientist Part I: Understanding Where To Start”, we examined the challenges for getting the business users to think like data scientists when contemplating where and how to […]
Picking up from where we left off in Big Data Glossary – Part 1, here is a list of some more of the big data terminologies simplified: 16. Legacy System – In the context […]
One question I frequently get is: “How do I become a data scientist?” Wow, tough question. There are several new books that outline the different skills, capabilities and technologies that a data […]
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