Kafka provides the API ... headless data architecture? Tables have long been a staple of data lakes and data warehouses, but have historically been defined by the proprietary database.

You then need to import an existing Data API builder configuration file. You can use both the Database API builder ... about everything from enterprise architecture down to gadgets.

This project is to build a simple ETL pipeline to fetch real-time data from an open source API and store that data into a database. For this case we have used Yelp FUSION API as the open source API ...

The pipeline is designed to ingest transactional data from a mock API, transform it into analytics-ready tables, and leverage machine learning to predict customer lifetime value (CLV). Key Learning ...

While direct database access has advantages, it might not be the best option for complex data interactions, security or scenarios requiring access to multiple data sources. Because of this ...

we mainly studied how to build a MPI cloud platform that supports massive data storage, and implement a distributed cluster constructed by MySQL. This paper introduces the feature of MPI cloud ...