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Streamline RAG with New Document Preprocessing Features

Snowflake

As organizations increasingly seek to enhance decision-making and drive operational efficiencies by making knowledge in documents accessible via conversational applications, a RAG-based application framework has quickly become the most efficient and scalable approach. Until now, document preparation (e.g.

SQL 69
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Designing A Non-Relational Database Engine

Data Engineering Podcast

Summary Databases come in a variety of formats for different use cases. The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. Can you describe what constitutes a NoSQL database? document, K/V, graph) change that calculus?

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Data Owner Responsibilities: Balancing Security, Access, and Sanity

Monte Carlo

It’s because data owners are responsible for ensuring the quality, security, and accessibility of a dataset across the entire organization. First, owners teach their coworkers on what they should be doing with their data with documentation and manuals. Then, data owners guide employees by defining and enforcing data access rules.

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Beginner’s Guide to Cloudera Operational Database

Cloudera

I interned with Cloudera last summer and joined Cloudera as a software engineer a couple of weeks ago and this is my first experience with CDP and CDP Operational Database. COD is a real-time auto-scaling operational database powered by Apache HBase and Apache Phoenix. You can access COD right from your CDP console.

Database 119
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A Major Step Forward For Generative AI and Vector Database Observability

Monte Carlo

If it is structured data then it’s often stored in a table within a modern database, data warehouse or lakehouse. If it’s unstructured data, then it’s often stored as a vector in a namespace within a vector database. Vector databases have a different vocabulary and work differently than warehouses.

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Data Access API over Data Lake Tables Without the Complexity

Towards Data Science

Data Access API over Data Lake Tables Without the Complexity Build a robust GraphQL API service on top of your S3 data lake files with DuckDB and Go Photo by Joshua Sortino on Unsplash 1. To make such use case work, we will typically need a database that will be able to process queries in a fast customer-facing latency.

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Data Discovery From Dashboards To Databases With Castor

Data Engineering Podcast

The trouble is that the data is usually spread across a wide and shifting array of systems, from databases to dashboards. Castor is building a data discovery platform aimed at solving this problem, allowing you to search for and document details about everything from a database column to a business intelligence dashboard.

Database 100