Service for bulk-loading data to databases with automatic schema management (Redshift, Snowflake, BigQuery, ClickHouse, Postgres, MySQL)
-
Updated
Jul 7, 2024 - Go
Service for bulk-loading data to databases with automatic schema management (Redshift, Snowflake, BigQuery, ClickHouse, Postgres, MySQL)
Generative AI & Recommendation Engine --- Firat University / Faculty of Technology / Software Engineering / Final Project
This project is designed to handle data read/write to any database and works well as an ETL engine
Make stream processing easier! Easy-to-use streaming application development framework and operation platform.
Personal Spotify Wrapped using Airflow, Django and Docker
Finnhub data streaming pipline for real-time Bitcoin trades analysis.
Callback-based iterators for Go language.
This project demonstrates how to build and automate an ETL pipeline written in Python and schedule it using open source Apache Airflow orchestration tool on AWS EC2 instance.
ML pipeline to categorize emergency messages based on the needs communicated by the sender.
No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
Airflow DAGs for the Stellar ETL project
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
fluent iteration in Python
Proyecto sobre retención de empleados. Análisis de datos en Power BI. Modelos de machine learning y análisis de sentimientos.
Real-Time Event Streaming & Change Data Capture
App for news articles summarizing.
This project demonstrates the integration of data from multiple sources into a unified data lake. The project showcases the use of AWS Glue for ETL tasks, Amazon S3 as a data lake, AWS Data Pipeline for data movement automation, Amazon RDS for relational data storage, and Amazon Redshift for data warehousing and analysis.
The goal of this project is to perform comprehensive data analytics on Uber trip data using a modern data engineering stack on Google Cloud Platform (GCP).
Add a description, image, and links to the etl-pipeline topic page so that developers can more easily learn about it.
To associate your repository with the etl-pipeline topic, visit your repo's landing page and select "manage topics."