Published inHacking AnalyticsTaming the Kaniko beastKaniko brings about a lightweight way to build container images on Kubernetes— it may need however some taming before becoming usable.May 28, 20221May 28, 20221
Published inHacking AnalyticsShould you do a Master (MSc) in Data Science Or Analytics?Master of Data Science and Analytics has become quite well implemented as part of universities’ curriculums. They are now over a thousand…Apr 15, 2022Apr 15, 2022
Published inHacking AnalyticsData Engineer ArchetypesAn overview of the different profiles of Data EngineersMar 19, 20221Mar 19, 20221
Published inHacking AnalyticsFiles formats for Data Engineers — (Part 1) — Standards Data FormatsData Engineers need to understand the different files format they need to read from and write to, as well as the limitations and pitfalls…Feb 26, 20221Feb 26, 20221
Published inHacking AnalyticsSpeeding up your Python data pipelines with Cython and NimHow Cython or Nim can help you get more from Python and achieve better performanceDec 3, 2021Dec 3, 2021
Published inHacking AnalyticsMachine Learning in Production — How to Operate a Model factoryHow to leverage MLOps principles for more impactful machine learning initiativesNov 30, 20211Nov 30, 20211
Published inHacking AnalyticsScaling with Pandas beyond the millions (of records)Typically, Pandas find its' sweet spot in usage in low- to medium-sized datasets up to a few million rows. Beyond this…Nov 20, 2021Nov 20, 2021
Published inHacking AnalyticsOn Data Engineering code reviewsIt is essential to do code reviews in Data Engineering. Code reviews provide a good foundation for the future, especially when looking at…Nov 10, 20211Nov 10, 20211
Published inHacking AnalyticsFinance & Financial Analytics for Data EngineersFinancial methods, applications, and modeling for Data EngineersJul 23, 2021Jul 23, 2021
Published inHacking AnalyticsPython’s Data Classes a Data Engineer’s best friendData Engineering application of data classesJul 15, 20211Jul 15, 20211