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Category: Technical

Meter Data Ingestion to the Lakehouse–Part 1

August 7, 2025 Dave Froslie

My last post, Data Lakehouse Architecture for Electric Coops – Lake Data Insights, described an overall architecture for using a…

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Posted in: Data engineering, Data warehouse, Databricks, Technical

Data Lakehouse Architecture for Electric Coops

June 15, 2025 Dave Froslie

In Data lakehouses for electric coops – Lake Data Insights, I made the case that a lakehouse approach drove a…

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Posted in: Data engineering, Data Strategy, Databricks, Technical, Utilities

Medallion Architecture

June 1, 2025 Dave Froslie

The Medallion Architecture for data engineering is a powerful yet simple abstraction that drives architectural clarity. Per Strengholt (1), “A…

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Posted in: Data engineering, Data warehouse, Databricks, Technical

Data lakehouses for electric coops

November 29, 2024 Dave Froslie

The data lakehouse architecture has been around for a few years now. My first blog post about it was back…

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Posted in: Data engineering, Data Strategy, Databricks, Technical

Getting started with Power BI and NISC iVUE

July 13, 2024 Dave Froslie

As I described in What’s old is new again – Lake Data Insights, there is a significant opportunity for data…

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Posted in: Data engineering, Data Strategy, PowerBI, Technical, Tools of the trade, Utilities

Using the data engineering lifecycle for data architecture

Dave Froslie

As mentioned in Introduction to Data Engineering – Lake Data Insights, I teach a class, Fundamentals of Data Engineering, that…

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Posted in: Data engineering, Data Science Process, Technical, Tools of the trade

Market Basket Analysis

June 19, 2022 Dave Froslie

Market basket analysis (MBA), also known as affinity analysis, is an unsupervised machine learning technique that is often used in…

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Posted in: Data Strategy, ML, Python, R, Technical, Tools of the trade

Predictive maintenance – Simple and cheap

April 10, 2022 Dave Froslie

I recently put together a predictive maintenance machine learning (ML) solution for a client. The goal is to optimize the…

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Posted in: Data Science Process, Data Strategy, ML, PowerBI, Technical

Roche’s Maxim of Data Transformation

December 12, 2021 Dave Froslie

“Data should be transformed as far upstream as possible, and as far downstream as necessary.” I came across this statement…

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Posted in: Data engineering, Data Science Process, Data Strategy, Data warehouse, PowerBI, Technical

Dynamics 365 Supply Chain Management Demand Forecasting R Module

October 20, 2021 Dave Froslie

This is the second post in a series discussing Dynamics 365 SCM Demand Forecasting Machine Learning. This post is focused…

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Posted in: ML, R, Supply Chain, Technical, Time Series

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