CIMIS
Business software
Sync CIMIS weather station and climate data into your warehouse. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.
The CIMIS connector syncs your agricultural weather data into analytics-ready tables in your data warehouse. Pull stations, daily data, and hourly data from the California Irrigation Management Information System API, with Ingest handling auth, pagination, and retries so the tables stay current.
What you would get
Each of these arrives as its own table, kept current on the schedule you choose:
- Stations
- Daily data
- Hourly data
How it gets built
- Choose CIMIS when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads CIMIS's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against CIMIS itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
AppKey, sent as a query parameter: ?appKey=. Register a free account at cimis.water.ca.gov and click Get AppKey from your account page.
You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.
Questions
- Does Ingest have a CIMIS connector?
- Not as a finished connector yet. Ingest builds it from CIMIS's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can CIMIS data go to?
- Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
- Do I need to write code?
- No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.
CIMIS API documentation: https://et.water.ca.gov/
Where this would land, and what else connects
Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.
Other sources Ingest connects for SaaS teams: Asana, Jira, Airtable, Clockify, Facebook Ads, Frankfurter.