3 repositorios
Pre-defined database schemas and data dumps used for testing, benchmarking, and demonstration.
Distinct from MySQL Connectors: Candidates focus on connectivity or migration; this is about the provision of the sample data itself.
Explore 3 awesome GitHub repositories matching data & databases · Sample Databases. Refine with filters or upvote what's useful.
This is a reference implementation library providing a collection of code samples, Transact-SQL scripts, and schemas for SQL Server, Azure SQL, and Azure Synapse. It focuses on providing standardized implementation patterns and reference code for building relational databases and cloud data warehouses. The library distinguishes itself by offering specialized guides and examples for deploying database instances within containerized environments and Azure cloud services. It includes specific reference databases and language extensions for integrating machine learning services and advanced analy
Provides pre-built database schemas and data dumps to simulate real-world scenarios.
test_db is a collection of tools for validating database integrity, benchmarking system throughput, and generating synthetic schemas and datasets. It includes a sample corporate employee database for MySQL, a SQL dataset generator for creating representative records, and an integrity validator that uses checksums and record counts to verify data consistency across different database engines. The project provides a database performance benchmark consisting of complex queries and stored procedures designed to measure system response times and throughput. These tools simulate real-world workload
Ships a sample corporate employee database for MySQL used for testing and benchmarking.
This project is a relational SQL sample database and synthetic testing dataset. It provides a standardized data model of a fictional digital media store, encompassing business entities such as artists, albums, tracks, customers, and invoices. The dataset is designed as a cross-dialect SQL collection, using compatible scripts to ensure consistent data seeding and environment parity across different database server engines. It combines imported metadata with fictitious personal details to create realistic records for software prototyping and demonstrations. The project covers capabilities for
Provides a comprehensive sample database and dataset for software prototyping and demonstrations.