ETL is the process of extracting, transforming and loading data between different databases and applications. Common use cases for ETL include:
- Data Extraction
- Data Quality Control
- Match and Merge
Data extraction gives companies the ability to automatically extract information from documents or websites and input the formatted data into a database. Data quality control establishes guidelines about how much and what kind of data can be stored. Match and merge compares data from different sources and indentifies possible duplicates or identical matches.
InfinyOn Cloud makes ETL effortless by collecting data from endpoints in any geo-location with fast and efficient single digit millisecond latency. Spin up a cluster, select source and sink connectors from our catalog, configure producers and consumers, then create a topic for streaming data. SmartModules can be set up in order to aggregate, filter or map streaming data. InfinyOn Cloud makes it simple to set up, deploy and manage your cluster.
Developers can use Fluvio open-source software that offers built-in packaging for multiple operating systems, from Raspberry PI to various Linux distributions. Support for the most common programming languages makes it easy to build custom connectors to virtually any server or data store for ETL.