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PostgreSQL As Data Integration Tool — Stefanie Janine Stölting
PostgreSQL as a data integration tool: leveraging foreign data wrappers to combine data from various sources without moving data, including Oracle, MariaDB, SQLite, and more.
- PostgreSQL can be used as a data integration tool to combine data from different sources.
- Foreign data wrappers (FDWs) can be used to access data from other databases, file formats, and data sources.
- FDWs can be used to query data from different sources without having to physically move the data.
- Postgres has built-in support for FDWs, which can be extended using custom-made FDWs.
- FDWs can be used to integrate different data sources, such as Oracle, MariaDB, SQLite, and MongoDB.
- PostgreSQL’s foreign data wrapper can be used to access remote databases, such as MySQL, PostgreSQL, and Oracle.
- The foreign data wrapper can be used to query data from different sources in a single query.
- PostgreSQL’s materialized views can be used to create pre-computed views that can be queried.
- PostgreSQL’s materialized views can be used to query data from different sources without having to physically move the data.
- FDWs can be used to integrate data from different sources, such as databases, files, and data sources.
- FDWs can be used to create custom-made data integration solutions.
- FDWs can be used to create data pipelines that can be used to integrate data from different sources.
- FDWs can be used to integrate data with other systems, such as Elasticsearch.
- FDWs can be used to create data workflows that can be used to integrate data from different sources.
- FDWs can be used to create data transformations that can be used to integrate data from different sources.
- FDWs can be used to create data aggregations that can be used to integrate data from different sources.