ETL stands for Extract, Transform, Load. It has been a traditional way to manage analytics pipelines for decades. With the advent of modern cloud-based data… Read More »ETL vs ELT: Considering the Advancement of Data Warehouses
It seems like it has been a long time since big data was all the hype in tech. Over the past year, it’s blockchain that… Read More »Four Ways Blockchain is Changing the Analytics Landscape
This article was written by John Hammink. John is Chief Evangelist for Treasure Data. An 18-year veteran of the technology and startup scene, he enjoys travel to… Read More »A Self-Study List for Data Engineers and Aspiring Data Architects
Tuesday of Strata Data Conference is my favorite of the four days. The calm before the storm of the keynotes and short presentations of Wednesday-Thursday,… Read More »Tutorial Day at Strata Data San Jose, 2018
Labels are how humans define and categorise different concepts. There’s lots of evolutionary psychology, neuroscience and linguistics behind this, but without going into that, without… Read More »Data Scientists need designer labels too
“By tapping the united strength of these and other interlocking fields and capitalizing on what they can teach each other, we seek to answer the… Read More »MIT IQ Initiative Is Taking A Different Approach To AI Research
To understand how skills in actuarial science can be applied to investment banking we need to understand what actuarial science deals with. So what is… Read More »How can actuarial science skills be applied in investment banking?
This article was written by Margarita Shilova. Datafication is a buzzword of the last several years, that is used actively along Big Data industry. Honestly, if you… Read More »The Concept of Datafication; Definition & Examples
This article was written by Jim Frost. In regression analysis, curve fitting is the process of specifying the model that provides the best fit to… Read More »Curve Fitting using Linear and Nonlinear Regression
Some time ago I met a colleague who expressed her disappointment from two data scientists that she hired. These were the first employees with a… Read More »Why is it so hard to train data scientists?
