Automate your data processing pipeline in 9 steps
Learn how to build an n8n workflow that processes text, stores data in two databases, and sends messages to Slack.
n8n lets you integrate Google Cloud Natural Language with Postgres to build powerful workflows. Design automation that extracts, transforms and loads data between your apps and services. You can choose from thousands of ready-made apps or use our universal HTTP connector to sync apps not yet in our library.
Create custom Google Cloud Natural Language and Postgres workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Learn how to build an n8n workflow that processes text, stores data in two databases, and sends messages to Slack.
CSV is a universally accepted and easy-to-read format to interpret data, and PostgreSQL is one of the most popular relational databases. Read on to learn how to export PostgreSQL as a CSV file using the COPY command, \copy command, and n8n.
PostgreSQL remains one of the most popular relational database options among data enthusiasts. Read on to learn how to import a CSV file into PostgreSQL using pgAdmin, SQL statements, and n8n.
Learn what database activity monitoring is, why it's important, and how to automatically monitor a Postgres database containing IoT data with n8n workflows.
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Build complex workflows, really fast
Implement complex processes faster with n8n