Big Data

Big Data integrations cover common patterns for getting files into analytics and warehouse platforms. In practice, you stage files in cloud storage. The data platform then ingests them.

Use this section when you want a repeatable, governed path from operational file drops to analytical workloads. This fits CSV/JSON/parquet drops. It also fits scheduled feeds and partner-delivered datasets.

If you want to integrate with Snowflake: Use shared cloud storage (S3/Azure/GCS) as the handoff point between Files.com and Snowflake loading jobs.