Remove Accessibility Remove Metadata Remove Unstructured Data
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Your Enterprise Data Needs an Agent

Snowflake

Agents need to access an organization's ever-growing structured and unstructured data to be effective and reliable. As data connections expand, managing access controls and efficiently retrieving accurate informationwhile maintaining strict privacy protocolsbecomes increasingly complex.

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Simplifying Multimodal Data Analysis with Snowflake Cortex AI

Snowflake

This major enhancement brings the power to analyze images and other unstructured data directly into Snowflakes query engine, using familiar SQL at scale. Unify your structured and unstructured data more efficiently and with less complexity. Introducing Cortex AI COMPLETE Multimodal , now in public preview.

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AI and Data Predictions 2025: Strategies to Realize the Promise of AI

Snowflake

The next evolution in data is making it AI ready. For years, an essential tenet of digital transformation has been to make data accessible, to break down silos so that the enterprise can draw value from all of its data. For this reason, internal-facing AI will continue to be the focus for the next couple of years.

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Directory Tables : Access Unstructured Data

Cloudyard

Read Time: 2 Minute, 30 Second For instance, Consider a scenario where we have unstructured data in our cloud storage. However, Unstructured I assume : PDF,JPEG,JPG,Images or PNG files. Directory tables metadata should be refreshed automatically when underlying stage gets updated.

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Snowflake Cortex Search: State-of-the-Art Hybrid Search for RAG Applications

Snowflake

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. Solving the challenges of building high-quality RAG applications From the beginning, Snowflake’s mission has been to empower customers to extract more value from their data.

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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Ingest data more efficiently and manage costs For data managed by Snowflake, we are introducing features that help you access data easily and cost-effectively.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

First, we create an Iceberg table in Snowflake and then insert some data. Then, we add another column called HASHKEY , add more data, and locate the S3 file containing metadata for the iceberg table. In the screenshot below, we can see that the metadata file for the Iceberg table retains the snapshot history.