What is DataOps?
DataOps is the use of agile development practices to create, deliver, and optimize data products, quickly and cost-effectively. DataOps is practiced by modern data teams,… Read More »What is DataOps?
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DSC Weekly Digest 15 March 2021
Data Agility, Not Code Agility Twenty years ago, a group of programmers, project managers, and consultants met at a ski resort just outside of Ogden,… Read More »DSC Weekly Digest 15 March 2021
Unlocking e-commerce growth for CPG with data and analytics
CPG opportunities in the new normal The COVID-19 pandemic has compelled businesses to shift to virtual marketplaces and CPG has been no different. Consumers are… Read More »Unlocking e-commerce growth for CPG with data and analytics
Unleashing the Business Value of Technology Part 1: Framing the Challenge
My recent journeys have brought me before both technology vendors and technology customers, and interestingly enough, both are asking the same question: “How do we… Read More »Unleashing the Business Value of Technology Part 1: Framing the Challenge
Six use cases in Blockchain Analysis
Blockchain analysis is the process of inspecting, identifying, grouping, modeling, and visually representing the data contained in the blockchain. As we know, blockchain technology allows… Read More »Six use cases in Blockchain Analysis
What should Java developers learn in 2021?
If you want to work effectively on Java projects as a developer in this competitive world, there are many things you should learn. You must… Read More »What should Java developers learn in 2021?
The Bayesian vs frequentist approaches (Part 3) parametric vs non-parametric models
This post continues our discussion on the Bayesian vs the frequentist approaches. Here, we consider implications for parametric and non-parametric models In the previous blog… Read More »The Bayesian vs frequentist approaches (Part 3) parametric vs non-parametric models
Why I think the Potential Outcomes Theory is woefully incomplete without Pearl’s enhancements to it
Judea Pearl (left) and Donald Rubin (right) taken in 2014. Full disclosure: I am a big fan of Judea Pearl and his contributions to Bayesian… Read More »Why I think the Potential Outcomes Theory is woefully incomplete without Pearl’s enhancements to it
Best practices of Data Cleansing
Data Accuracy: Data accuracy is the biggest challenge for many businesses, having accurate data is useful in all its stages to use. Data results in… Read More »Best practices of Data Cleansing
Detecting COVID from a Distance Using Pandemic Drone
images provided by Draganfly Because COVID-19 is transmitted as an airborne disease, being able to detect when people have symptoms from a distance is important. One approach,… Read More »Detecting COVID from a Distance Using Pandemic Drone