
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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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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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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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 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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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 Concepts summarised. Why Delta Lake in Azure is a best practices implementation of a Data Lakehouse concept. ==END
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Function App Role in an AI Data Flow A Function App is typically used for serverless, small-scale, and responsive tasks, ensuring the overall pipeline remains …
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Typical example of a Delta Lake and ‘Lakehouse’ architecture. The Delta Lake format as the primary storage layer for the Bronze and Gold zones is c…
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For heterogenous data sources and compute. An abstraction and middleware for data and formats.
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