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How to Update Documents in Elasticsearch

Rockset

When building applications on change data capture (CDC) data using Elasticsearch, you’ll want to architect the system to handle frequent updates or modifications to the existing documents in an index. When a user searches for a show, ie “political thriller”, they are returned a set of relevant results based on keywords and other metadata.

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Intelligent Document Processing: Technology Overview

AltexSoft

Whatever the industry, various documents accompany at least a quarter of business operations. The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. That’s when intelligent document processing or IDP enters the game.

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Categorizing user-uploaded documents

Scribd Technology

Scribd offers a variety of publisher and user-uploaded content to our users and while the publisher content is rich in metadata, user-uploaded content typically is not. Documents uploaded by the users have varied subjects and content types which can make it challenging to link them together.

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Identifying Document Types at Scribd

Scribd Technology

User-uploaded documents have been a core component of Scribd’s business from the very beginning, understanding what is actually in the document corpus unlocks exciting new opportunities for discovery and recommendation. With Scribd anybody can upload and share documents , analogous to YouTube and videos. But what is a “type”?

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How to get started with dbt

Christophe Blefari

You can also add metadata on models (in YAML). You have to define sources in YAML files. ℹ️ I want to mention that the dbt documentation is one of the best tools documentation out there. The documentation, as I said earlier, is top of the notch. macros — a way to create re-usable functions.

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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. It supports “fuzzy” search — the service takes in natural language queries and returns the most relevant text results, along with associated metadata.

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The Weekly ETL: How Do You Document Your Data Assets?

Monte Carlo

Reddit user _Niwubo asks how data teams can go about setting up a solution for documenting their data assets. One of the challenges though – which applies to both homegrown solutions and vendor solutions – is the amount of investment required to actually document your data. How does your organization go about documenting data assets?