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Databricks introduces native FILE type for multimodal data in lakehouse

By PulseAugur Editorial · [1 sources] ·

Databricks has introduced a new beta feature called FILE type, designed to store unstructured data like documents, images, and videos as a native column within tables. This innovation aims to integrate multimodal data directly into the lakehouse, making it queryable, secure, and manageable alongside structured data. The company is collaborating with the community to embed support for FILE type into Apache Parquet and Delta Lake, ensuring broad ecosystem compatibility and data portability. AI

IMPACT Streamlines AI model training and real-time data serving for unstructured data within existing data infrastructure.

RANK_REASON New product feature release from a major data platform company.

Read on Databricks Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Databricks introduces native FILE type for multimodal data in lakehouse

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COVERAGE [1]

  1. Databricks Blog TIER_1 English(EN) ·

    Introducing FILE type: a native column type for multimodal data

    Your data estate holds far more than structured tables, metrics, and transaction...

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