You have a daily drop of 10,000 JSON log files on S3. You want to transform them and load into Postgres. Airflow means a scheduler, a metadata DB, a webserver, DAG files, and operators. Dagster and ...

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Ingest daily habit check-ins from Google Forms/Sheets into TimescaleDB (Postgres) and visualize in Grafana. This repo provides a tiny, testable ETL you can run locally or as a Kubernetes CronJob. Why ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python Hello! I'm a dreamer focusing on high-load distributed systems and low-level ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

But suddenly, it’s all looking like spaghetti. Let me introduce you to your new best friend: Frame. It helps you keep your layout neat and organized—just like folders on your desktop.

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...