Remove Accessibility Remove Unstructured Data Remove Utilities
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Now in Public Preview: Processing Files and Unstructured Data with Snowpark for Python

Snowflake

With this new Snowpark capability, data engineers and data scientists can process any type of file directly in Snowflake, regardless if files are stored in Snowflake-managed storage or externally. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.

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Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

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Accelerate AI Development with Snowflake

Snowflake

However, scaling LLM data processing to millions of records can pose data transfer and orchestration challenges, easily addressed by the user-friendly SQL functions in Snowflake Cortex. With these functions, teams can run tasks such as semantic filters and joins across unstructured data sets using familiar SQL syntax.

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Data Engineering Weekly #195

Data Engineering Weekly

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. The blog is an excellent summary of the existing unstructured data landscape. What are you waiting for? Register for IMPACT today!

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Snowpark Offers Expanded Capabilities Including Fully Managed Containers, Native ML APIs, New Python Versions, External Access, Enhanced DevOps and More

Snowflake

Python Unstructured Data Processing (PuPr) – Unstructured data processing is now natively supported with Python. External Network Access (PrPr) – Allows users to seamlessly connect to external endpoints from their Snowpark code (UDFs/UDTFs and Stored procedures) while maintaining high security and governance.

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Introducing Vector Search on Rockset: How to run semantic search with OpenAI and Rockset

Rockset

Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Comprehending and understanding how to leverage unstructured data has remained challenging and costly, requiring technical depth and domain expertise.

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Four Vs Of Big Data

Knowledge Hut

Big data stands out due to its significant volume, quick velocity, and wide variety, leading to difficulties in storage, processing, analysis, and interpretation. Organizations can utilize big data to discover valuable insights, patterns, and trends that encourage innovation, enhance decision-making, and boost operational efficiency.