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Designing A Non-Relational Database Engine

Data Engineering Podcast

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. Can you describe what constitutes a NoSQL database? Can you describe what constitutes a NoSQL database?

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Data Integrity for AI: What’s Old is New Again

Precisely

The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. In the beginning, there was a data warehouse The data warehouse (DW) was an approach to data architecture and structured data management that really hit its stride in the early 1990s.

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An Agile Approach To Master Data Management with Mark Marinelli - Episode 46

Data Engineering Podcast

Summary With the proliferation of data sources to give a more comprehensive view of the information critical to your business it is even more important to have a canonical view of the entities that you care about. Can you start by establishing a definition of data mastering that we can work from?

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How To Migrate Data From Postgres To Iceberg?

Hevo

Relational databases like Postgres have been the backbone of enterprise data management for years. However, as data volumes grow and the need for flexibility, scalability, and advanced analytics increases, modern solutions like Apache Iceberg are becoming essential.

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How to Load Data from Oracle to Iceberg

Hevo

Relational databases like Oracle have been the backbone of enterprise data management for years. However, as data volumes grow and the need for flexibility, scalability, and advanced analytics increases, modern solutions like Apache Iceberg are becoming essential.

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“The Power of SQL in Driving Business Success”

U-Next

For more than 40 years, relational databases have been managed and modified using the programming language SQL (Structured Query Language). Given that it lets organizations efficiently store, retrieve, and analyze massive volumes of data, it has become an essential tool in their daily operations.

SQL 97
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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

With Hybrid Tables’ fast, high-concurrency point operations, you can store application and workflow state directly in Snowflake, serve data without reverse ETL and build lightweight transactional apps while maintaining a single governance and security model for both transactional and analytical data — all on one platform.