SQL

Relational database management system that uses YottaDB as the data store

Proyecto Final de Grado Superior en Desarollo de Aplicaciones Web de Aaron Crespo Garcia.

🐘🕶️ Anonymization & Data Masking for PostgreSQL

https://labs.dalibo.com/postgresql_anonymizer

Joe helps backend engineers and DBAs troubleshoot and optimize SQL, moving really quickly. Joe works on top of Database Lab https://gitlab.com/postgres-ai/database-lab.

SQLite3 integration with Java using JDBC.

SQLite bindings for Kit

Fluent SQL query builder for Kit

PostgreSQL bindings for Kit using libpq

PostgreSQL SQL parser - parse, validate, normalize, and fingerprint SQL queries using libpg_query

DuckDB bindings for Kit - in-process analytical database

Open-source project for managing Snowflake permissions and roles through YAML configuration

Cheat sheets for several programming languages and IT related tools.

Materials on various sections in Computer Science (CS). 🎓

End-to-end product & global market analysis for Abstract — built on Databricks/PySpark + SQL Server + Power BI. SIAM1838 IFTS Group 6.

KVLite is a partition-based key-value cache built for SQL RDBMSs: https://kvlite-docs.pommalabs.xyz/

A Terraform module to manage the configuration of Athena to query an S3 data source. Data cataloguing is executed by AWS Glue, which can be triggered on-demand, on a schedule, or from S3 Object Created events.

transqlate transpile SQL snippet from a dialect to another using an AST

https://arrowpqt.gitlab.io

Arrow & Parquet is a high-performance, fully client-side data transformation and analysis tool designed to bridge familiar data formats with modern, high-speed querying engines directly in the browser. It allows users to import Arrow, Arrows, CSV, and JSON files, instantly converting them into the highly optimized Parquet format using Rust WebAssembly. Native Parquet files can also be imported directly.

Once the data is securely loaded, an embedded DuckDB WASM engine enables users to perform complex SQL queries, validate data structures, and aggregate large datasets with zero server latency. After filtering and shaping the data, the final output can be exported as either CSV or Parquet files for seamless integration into downstream machine learning workflows or BI tools.

To handle robust data operations and large WebAssembly payloads without hitting strict hosting limits, the application is deployed via GitLab Pages and utilizes the browser's Origin Private File System (OPFS). This guarantees high-speed local storage and ensures that all data processing remains strictly local, providing absolute data privacy without ever transmitting sensitive information to an external server.

Built with Astro, Rust WebAssembly, and DuckDB WASM.

Audit module for RosarioSIS: log SQL queries (INSERT, UPDATE or DELETE) and optionally log user browsing.