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Mykola-Bohdan Vynnytskyi·Jan 23Understanding Microsoft Fabric: EventhouseThis article continues my Understanding Microsoft Fabric series, a step-by-step walkthrough of the platform, designed specifically for…
InSUDO ConsultantsbyMaryammairaj·Jan 21Designing Compliant Cloud Analytics on AWS: Why Enterprises Must Rethink Data Governance1. Introduction — The Governance Crisis in Modern Analytics
Syntal·Jan 10DuckDB Goes Cloud: What MotherDuck ChangesA practical look at how DuckDB’s “local-first” vibe is evolving into a cloud workflow — without turning into yet another heavy warehouse.
Gib Bassett·Dec 28, 2025A customer-first case for Cloud AnalyticsAt first glance, the cloud rationale for a legacy on-premise technology feels like a branding problem: software looks old, cloud sounds…
Nikulsinh Rajput·Dec 22, 2025DuckDB Persistent Caches on Object Storage: Warm Starts for Petabyte LakesMake lakehouse queries feel “already warmed up” by persisting DuckDB’s cache layer — so repeated scans, joins, and metadata reads don’t…A response icon1A response icon1
InAWS TipbyThe Data Forge·Dec 17, 2025⚔️Data Lake vs Data Warehouse vs Lakehouse — The Real DifferencesThe only guide you need to truly understand these three architectures — without marketing buzzwords.
Crack FAANG·Dec 17, 2025Taming the Data Beast: Big Data Frameworks vs. Cloud Analytics PlatformsThe world is drowning in data. From social media posts to sensor readings, we’re generating information at an unprecedented rate. But how…
QuarkAndCode·Dec 10, 2025Data Lakehouse Architecture in 2025: Benefits, Challenges & Best PracticesLearn what a data lakehouse is, its benefits, challenges, and best practices to build a scalable, AI-ready data platform in 2025.
Yamishift·Dec 10, 2025BigQuery Adaptive Execution: Slot Hints, Dynamic Pruning, and Smarter ShufflesHow to stop treating BigQuery like a black box and start steering its execution engine on purpose.
