Ship and manage machine learning solutions inside Snowflake with a few lines of SQL

Package for writing acquisition and processing results into an ISPyB database

PyStratum-Cli: The Frontend

Django's helper app for managing and executing stored procedures and other low-level db stuff. Moved to https://gitlab.com/derfenix/django_stored_procedures

The aim of database to record various details of entities like airport, airlines, aircraft, flight and its scheduling and passengers and the relationships among these entities like arrival and departure airport of a flight, the airlines to which a flight belongs to, flight booked by a passenger etc. This database also includes the baggage histor…

🚅 Automatically translate Redis access in Python 🐍 to server side scripts in Lua

How to build and deploy scalable machine learning models in Snowflake.

ALX backend specialization track with SQL projects

This repository contains the code of Airflow DAG, Snowflake Tasks and Snowflake Procedures

The SSIS2Python script is designed to facilitate various database operations, such as importing CSV files into a database, exporting query results to a CSV file, and copying files to a network location. The script leverages SQLAlchemy for database connections, Pandas for data manipulation, and several other Python libraries for file handling.

Managing a Library's database using pymysql

Client generator for stored procedures driven development

Exploring various databases in Python

Rahl commander is a tool for easilly check schema rules and manage db object like stored procedures, trigger and functions

PyStratum: PostgresSQL Backend

Objective of this project is to create a database to centrally handle the information of all the players, games played & results, referee that can be used for simple data analysis using SQL Queries.

An automated tool to analyze your Azure Data Factory Pipelines and SQL Stored Procedures, Views, and Tables to build a diagram to display the dependencies and their relationships.

Apache Airflow project for orchestrating ETL workflows in a data warehouse environment. Implements a medallion architecture (Bronze, Silver, Gold layers) with Postgres integration for scalable and modular data processing pipelines.

Proyecto de la asignatura Bases de Datos I, impartida por ing.José Inestroza en UNAH.

An OLTP banking system is implemented, emphasizing data integrity and atomicity, and leveraging constraints, triggers, stored procedures, views, and indexing to enhance query performance.