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Designing A Non-Relational Database Engine

Data Engineering Podcast

The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

SnowConvert is an easy-to-use code conversion tool that accelerates legacy relational database management system (RDBMS) migrations to Snowflake. In addition to free assessments and free table conversions, SnowConvert now supports accurate conversion of database views from Teradata, Oracle or SQL Server for free.

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Methods for Running SQL on JSON in PostgreSQL, MySQL and Other Relational Databases

Rockset

Consider the hoops we have to jump through when working with semi-structured data, like JSON, in relational databases such as PostgreSQL and MySQL. JSON is a good match for document databases, such as MongoDB. JSON is a good match for document databases, such as MongoDB.

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Ingest Data Faster, Easier and Cost-Effectively with New Connectors and Product Updates

Snowflake

COPY INTO now supports use cases for unstructured data with the new ingestion capabilities for Document AI (generally available soon). Users can now use Document AI to create a model and use it in automated batch ingest of unstructured documents with formats like PDF, JPEG, HTML and more.

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Change Data Capture (CDC): What it is and How it Works

Striim

Business transactions captured in relational databases are critical to understanding the state of business operations. To avoid disruptions to operational databases, companies typically replicate data to data warehouses for analysis.

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Implementing the Netflix Media Database

Netflix Tech

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these key value stores generally allow storing any data under a key).

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Startup Spotlight: Hum Applies AI and LLMs to Help Publishers ‘Own’ Their Audiences

Snowflake

Snowflake’s relational database, especially when paired with Snowpark , enables much quicker use of data for ML model training and testing. While some of the data we collect comes from existing systems such as a CRM or an EMS, first-party data that’s being collected from websites only lives in Hum.

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