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Ferhat CulfazDeciphering Data Architectures ReviewAfter reading James Serra’s excellent book, Deciphering Data Architectures, I thought it would be a good way to write* what I learned from…2h ago2h ago
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Ahmed TammamBeyond the Hype — Effective AI in Your ArchitectureFinding Balance: Simplicity vs. Complexity in AI Design17h ago
InTowards Data SciencebyMichael SegnerThe “Who Does What” Guide To Enterprise Data QualityOne answer and many best practices for how larger organizations can operationalizing data quality programs for modern data platformsSep 121
Modern Data 101Data Pipelines for Data ProductsKey Components, Recommended Tools, and Fundamental Development ConceptsDec 51
Ferhat CulfazDeciphering Data Architectures ReviewAfter reading James Serra’s excellent book, Deciphering Data Architectures, I thought it would be a good way to write* what I learned from…2h ago
InData Engineer ThingsbyHussein JundiBuild Team’s Structure & Access Strategies to Your Data PlatformA step-by-step guide to design and build the right structure and data access strategies to handle various data access patterns across…Jun 164
InTowards Data SciencebyBernd WesselyThe Case Against Centralized Medallion ArchitectureWhy tailored, decentralized data quality trumps the medallion architecture5d ago1
Dr. Shweta ShahAI Agents Powering Sustainable Generative AI: Reducing the Carbon Footprint of Data PipelinesGenerative AI (Gen AI) is reshaping industries, driving innovation with applications from personalized financial assistants to automated…2d ago
InTowards Data SciencebyKrzysztof K. ZdebBest Practices for Technical Columns in Database DesignWhen architecting a transactional database or a data warehouse, it’s important not to forget about various types of technical columns…May 111
