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Databricks makes Variant data type generally available for faster data ingestion

By PulseAugur Editorial · [2 sources] ·

Databricks has announced the general availability of its Variant data type, designed to improve the ingestion and querying of semi-structured data. This feature, along with Variant Shredding, uses predictive optimization to enhance query performance, offering up to 30x faster reads compared to storing data as strings. Over 5,000 teams are already utilizing Variant for ingesting streaming events, API payloads, and schemaless data from various databases, removing the upfront cost of data schematization. AI

IMPACT Enhances data processing capabilities for AI/ML workloads by improving efficiency and performance with semi-structured data.

RANK_REASON Product launch of a data type and feature by a data platform company.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Databricks makes Variant data type generally available for faster data ingestion

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Tool
Product launch of a data type and feature by a data platform company.
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product, infra
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COVERAGE [2]

  1. Databricks Blog TIER_1 English(EN) ·

    Ingest semi-structured data faster and more efficiently with Variant - Now Generally Available

    For years, ingesting semi-structured data like JSON, XML, or CSV meant a difficult...

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    📊 Ingest semi-structured data faster and more efficiently with Variant - Now Generally Available For years, ingesting semi-structured data like JSON, XML, or CS

    📊 Ingest semi-structured data faster and more efficiently with Variant - Now Generally Available For years, ingesting semi-structured data like JSON, XML, or CSV meant a difficult... 📰 Source: Databricks 🔗 Link: https://www.databricks.com/blog/ingest-semi-structured-data-faster-a…

    LINKS databricks.com/…/ingest-semi-structured-d…

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