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

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.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Practical-Data-Science-Building-Technology/dp/1484230531?&linkCode=ll2&tag=cvthunderx-20&linkId=41e96f1f6d23f742302cb82466c28372&language=en_US&ref_=as_li_ss_tlDiscover our free courses in tech and cybersecurity, Start learning today:https://linktr.ee/cybercode_academy