Delta Lake to OneLake and Fabric
The above conceptual diagram illustrates a modern, unified data platform that streamlines ingestion, processing, and consumption across two primary enterprise …
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CDM, Ontology, Graph
Untangling Data Architecture: CDM vs. Ontology vs. Knowledge Graph In modern data discussions, terms like Canonical Data Model (CDM), Ontology, and Knowledge G…
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Data Patterns in Cloud
Reference: Adapted and expanded from The 12 Data Architecture Patterns Every Data Engineer Should Master. The Data Lake vs Warehouse debate is effectively over…
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AI – Governed Lakehouse, Data Quality is the key.
Enterprise AI projects rarely stall because of weak foundational models. The true bottleneck is almost always a fragmented, inconsistent, and ungoverned data l…
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The Fabric Overlay: Why OneLake Above Delta Lake and ADLS is the Ultimate Data Strategy
For years, building an enterprise data lake followed a familiar blueprint: spin up Azure Data Lake Storage (ADLS Gen2), format your data into Delta Lake (or Pa…
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Azure, Data and the Semantic Layer
Definition: What is a Semantic Layer? A Semantic Layer is a business representation of corporate data that helps end users and AI agents access data autonomous…
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Azure Delta Lake, simple overview
Azure Delta Lake is a method to wrap Parquet data formats, in a ‘neutral’ format for data processing. It is akin to Iceberg. Azure supports ‘…
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Delta Lake, Delta Format vs Iceberg
If you build a Data Lake or Lakehouse in Azure, or in AWS, and you choose ‘Delta Lake’ or the ‘Delta Format’ for Azure or AWS, you migh…
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Azure Data Lake Concept summarised.
Azure Data Lake Concepts summarised. Why Delta Lake in Azure is a best practices implementation of a Data Lakehouse concept. ==END
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