Big Data Isn’t a Thing; Big Data is a State of Mind
“Big Data is dead.” “Big Data is passé.” “We no longer need Big Data; we need Machine Learning now.” As we end 2017 and look forward to big (data) things in ...
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Lessons in Becoming an Effective Data Scientist
I was recently a guest lecturer at the University of California Berkeley Extension in San Francisco. On a lovely Saturday afternoon, the classroom was crowded with studen...
Outlier detection with time-series data mining
In a previous blog I wrote about 6 potential applications of time series…. To recap, they are the following: Trend analysis Outlier/anomaly detection Examining shoc...
Building a Data Democracy
Data democracy has been a hot topic of late. But what does this really mean? Further, what do we actually need to DO to build a culture of data democracy? This i...
5 Pro-Tips For Data Scientists To Write Good Code
The following advice is built from my experience working as a data scientist on a variety of projects across different data & engineering teams. Many data scientists ...
"Kindof" Big Data in R
Ask for feedback from just about any critic of the R statistical package and you’ll hear two consistent responses: 1) R is a difficult language to learn, and 2) R...
Top Game Changing Data Trends for 2018
These predictions for 2018 are from Infologix. “Metadata management and ensuring data privacy for regulations such as GDPR joins earlier trends like AI and IoT, but the...
2018: The Year of the Self-Learning Data Organization
As 2017 ends, Ramon Chen, Chief Product Officer at Reltio, the creator of data-driven applications, has peered into his crystal ball to decipher what 2018 will bring in d...
Understanding Behavioral Economics to Change Behaviors with Big Data
My good friend Vinnie participates in an automobile insurance program that rewards him for good driving behaviors; the better driving behaviors he exhibits, the more mone...
The Difference between Data Scientists, Data Engineers, Statisticians, and Software Engineers
Finding out the difference between data scientists, data engineers, software engineers, and statisticians can be confusing and complicated. While all of them are linked t...