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Tag: data warehouses

  • Tomasz Tunguz: Data & AI Infrastructure Are Fusing

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    by

    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/data–ai-infrastructure-are-fusing/ Source: Tomasz Tunguz Title: Data & AI Infrastructure Are Fusing Feedly Summary: AI breaks the data stack. Most enterprises spent the past decade building sophisticated data stacks. ETL pipelines move data into warehouses. Transformation layers clean data for analytics. BI tools surface insights to users. This architecture worked for traditional analytics. But…

  • Cloud Blog: BigQuery under the hood: The power of the Column Metadata index aka CMETA

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/understanding-the-bigquery–column-metadata-cmeta-index/ Source: Cloud Blog Title: BigQuery under the hood: The power of the Column Metadata index aka CMETA Feedly Summary: While petabyte-scale data warehouses are becoming more common, getting the performance you need without escalating costs and effort remain key challenges, even in a modern cloud data warehouse. While many data warehouse platform…

  • Cloud Blog: Introducing BigQuery ObjectRef: Supercharge your multimodal data and AI processing

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/new-objectref-data-type-brings-unstructured-data-into-bigquery/ Source: Cloud Blog Title: Introducing BigQuery ObjectRef: Supercharge your multimodal data and AI processing Feedly Summary: Traditional data warehouses simply can’t keep up with today’s analytics workloads. That’s because today, most data that’s generated is both unstructured and multimodal (documents, audio files, images, and videos). With the complexity of cleaning and transforming…

  • Tomasz Tunguz: Semantic Cultivators : The Critical Future Role to Enable AI

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    by

    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/semantic-layer/ Source: Tomasz Tunguz Title: Semantic Cultivators : The Critical Future Role to Enable AI Feedly Summary: By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations. In this presentation I shared yesterday, this is the main argument. Historically, our…