May 12, 2026

Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets

24 minutes

A comprehensive guide by Andreas François Vermeulen designed to help organizations convert raw data lakes into valuable business assets. It outlines a sophisticated Data Science Technology Stack that includes powerful processing and storage tools like Apache Spark, Kafka, and Cassandra, alongside programming languages such as R, Python, and Scala. The author presents a structured layered framework and the HORUS methodology to streamline data transformation through a hub-and-spoke approach. To ground these technical concepts, the text establishes a fictional corporate group, VKHCG, providing realistic datasets across sectors like logistics, media, and finance. This framework emphasizes moving beyond simple data wrangling toward a Center of Excellence model that ensures scalability and operational efficiency. Ultimately, the sources serve as both a theoretical roadmap and a practical manual for mastering the end-to-end data-to-knowledge cycle.

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