Learn about the most common SQL data modeling techniques and when to use them. Find out how to create conceptual, logical, and physical data models, as well as star, snowflake, and data vault schemas.

SQL data modeling - In simple words Before the data is stored it is modeled that defines the table, structure, data types, keys and the relationship. It ensures the data integrity and accuracy.

This repository contains a SQL data model designed to structure and manage relational data efficiently. The schema includes 33 tables that define relationships between different entities in the ...

Microsoft is moving more of the data governance workload to users, but says that this will lead to greater accountability and ...

🎯 Project Overview This project implements a relational database system that replicates key features of Instagram, including user management, post creation, commenting, liking, and follower ...

Create an inventory of data assets, including both cloud and on-premise databases, using a single visual interface; Migrate from on-premise databases, such as SQL Server, to cloud-based databases, ...

Today, a company called Yugabyte, which has built an open-source distributed SQL database model to help handle all that volume, is announcing that it has raised $188 million at a valuation of over ...

The Kinetica database converts natural language queries to SQL, and returns answers within seconds, even for complex and unknown questions.

One interesting change from the existing Azure SQL Database model is that in the new service storage allocation and compute allocations are separate. The maximum database size is 1TB.

Today, a company called Yugabyte, which has built an open-source distributed SQL database model to help handle all that volume, is announcing that it has raised $188 million at a valuation of over ...