Developers: Integration, Schemas & Delivery

Developer integration hub for GSDSI data: delivery patterns (S3/SFTP/Snowflake), schema guidance, and evaluation workflows for technical teams.

Developer Integration Examples

Technical evaluators usually review three artifacts before production: a delivery manifest, a small JSON sample, and a QA script that checks schema presence, date coverage, join keys, and source categories. GSDSI can provide samples in JSON, CSV, Parquet, S3/SFTP, Snowflake share, or API-scoped formats depending on the feed.

Example manifest fields

  • dataset slug and delivery date.
  • refresh cadence and file format.
  • file path, record count, checksum, and partition date.

Example QA checks

  • Required join keys such as hashed email, MAID, POI ID, household ID, or ticker mapping.
  • Null rates, duplicate handling, geography/date coverage, and source-category distribution.
  • Warehouse compatibility for Parquet, CSV, JSON Lines, Snowflake share, or SFTP batch delivery.

Start with the data dictionaries, then use the pilot process workflow to define success metrics before procurement.

FAQ

Can developers get sample files before signing a production license?
Yes. Technical evaluators can request a scoped JSON, CSV, or Parquet sample for the relevant feed after a brief use-case review. Samples are designed to show field names, join keys, refresh cadence, and delivery conventions without exposing full production volume.
What delivery methods does GSDSI support for engineering teams?
Common delivery paths include AWS S3 or compatible object storage, SFTP, Snowflake secure share, BigQuery-compatible exports, and API-based access for selected workflows. The right path depends on data volume, refresh cadence, security requirements, and whether the buyer needs batch processing or queryable shared tables.
What should an engineering team validate in a pilot?
Validate schema completeness, required join keys, record counts by geography and date, refresh latency, duplicate handling, null rates, source-category distribution, and whether the file format fits your warehouse or activation endpoint. GSDSI can provide manifests and sample QA scripts to make that review repeatable.
Are schemas stable after launch?
Production feeds are delivered with agreed field definitions, versioning expectations, and change-notice handling. If a buyer needs strict schema contracts, GSDSI can scope manifests, field-level documentation, and backward-compatible delivery windows in the order form.