Associative Data Modeling Demystified – Part1
Guest blog post byAthanassios Hatzis Relation, Relationship and Association While most players in the IT sector adopted Graph or Document databases and Hadoop based solut...
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Salary history and career path of a data scientist
While it is easy to find salary surveys for data scientists and related professions both at the junior and senior level, broken down per location and skills set, very fe...
The Experience of Being a High-Performing Data Scientist
Guest blog by James Kobielus. James is IBM’s Big Data Evangelist. He is an industry veteran who spearheads IBM’s thought leadership activities in big data, d...
How to Set Up Data Science?
[This is a cross-post from d4t4science.com] 1 Introduction Setting up data science in corporate environments is a challenging task. Many companies struggle ...
Recognize Anything: How Big Data Enables Photo Recognition
When you upload photos to Facebook, have you noticed that the website already seems to know who’s in them? It’s remarkable, and you can give the credit to big dat...
Can weather data add a pinch of salt to your prediction models?
Guest blog post by Arpit Saxena, Apprentice Leader at Mu Sigma Inc. In the stormy June of 1944, D-Day – the date of the Normandy Landings was looming. The allied f...
Data Isn't Everything
Guest blog by Dr. Prashanth Southekal. Prashanth is an experienced technology professional who understands what it takes to run efficient technology based solutions, p...
10 Tools For Working With Big Data For Successful Analytics
Traditional computer systems and software applications don’t have what it takes to support big data. If you want to collect, store, refine, or analyze big data, you hav...
A Plethora of Data Set Repositories
These 19 ‘sets of data sets’ cover free or public data from various industries, including small and large, structured and unstructured data sets. Hone your da...
How to Ensure Your CRM Data Is Fit For Purpose
In this post we provide you with seven ways you can improve the quality of your data and ensure it is fit for purpose. Constantly improving upon the quality of your data ...