#python #airflow #airflow_operators #aws #aws_ec2 #aws_s3 #aws_sdk #cassandra #cassandra_database #cloudformation #cluster #data #data_engineering #data_engineering_pipeline #data_lake #data_modeling #data_warehouse #etl_pipeline #infrastructure #postgres #postgresql_database

https://github.com/san089/Udacity-Data-Engineering-Projects

#scala #etl_pipeline #flink #one_stop_solution #spark #streaming #streaming_warehouse #streamx

https://github.com/streamxhub/streamx

#python #etl_pipeline #llm_platform #unstructured_data

Unstract is a powerful tool that helps you extract data from unstructured documents using large language models (LLMs). It has a no-code platform where you can easily develop and test prompts to get the data you need. Here’s how it benefits you You can automate the extraction of data from complex documents without needing to write code.
- **Prompt Studio** You can set up workflows in three simple steps to deploy APIs or ETL pipelines, automating critical business processes.
- **Integration with Various Tools**: Unstract supports multiple LLM providers, vector databases, embedding models, and text extractors, making it versatile and compatible with many systems.

Overall, Unstract saves time and effort by simplifying the process of extracting valuable data from unstructured documents.

https://github.com/Zipstack/unstract