Aspiring Data Scientists – Get Hired!
Working in Data Science recruitment, we’re no strangers to the mountains you have to climb and pitfalls faced when getting into a Data Science career. Despite the mount...
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Transforming Quantitative Data to Qualitative Data
The two main data types in business are nominal (categorical or qualitative data) and interval data (quantitative or continuous data). Nominal data are just categories o...
IotC Webinar Series: Scalable IoT, In-Database Computing
Internet of Things (IoT) data is exploding, driven in part by the adoption of connected home technologies such as smart thermostats. While the adoption of connected home ...
Unifying the Data Warehouse, Data Lake, and Data Marketplace
There was a time when developing a data warehouse was sufficient to quench the thirst for data, reporting, and analytics of most business users. Not anymore. Organization...
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 ...
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...