# Third-Party Integrations

- [Receive Data via Snowflake](https://docs.predicthq.com/integrations/third-party-integrations/snowflake.md)
- [Example SQL Queries for Snowflake](https://docs.predicthq.com/integrations/third-party-integrations/snowflake/example-sql-queries-for-snowflake.md)
- [Snowflake Data Science Guide](https://docs.predicthq.com/integrations/third-party-integrations/snowflake/snowflake-data-science-guide.md): Transforming Event Data into ML-Ready Features in Snowflake
- [Snowpark Method Guide](https://docs.predicthq.com/integrations/third-party-integrations/snowflake/snowflake-data-science-guide/snowpark-method-guide.md): Transforming Event Data into ML-Ready Features using Snowpark and Python
- [SQL Method Guide](https://docs.predicthq.com/integrations/third-party-integrations/snowflake/snowflake-data-science-guide/sql-method-guide.md): Transforming Event Data into ML-Ready Features using SQL
- [Receive Data via AWS Data Exchange](https://docs.predicthq.com/integrations/third-party-integrations/aws-data-exchange.md)
- [CSV/Parquet Data Structure for ADX](https://docs.predicthq.com/integrations/third-party-integrations/aws-data-exchange/csv-parquet-data-structure-for-adx.md): Data can be provided as NDJSON, CSV or Parquet. This document describes the CSV/Parquet data structure.
- [NDJSON Data Structure for ADX](https://docs.predicthq.com/integrations/third-party-integrations/aws-data-exchange/ndjson-data-structure-for-adx.md): Data can be provided as NDJSON, CSV or Parquet. This document describes the NDJSON data structure.
- [Receive Data via SFTP](https://docs.predicthq.com/integrations/third-party-integrations/sftp.md)
- [Integrate with Databricks](https://docs.predicthq.com/integrations/third-party-integrations/integrate-with-databricks.md): Leveraging PredictHQ's Event Data for Enhanced Analytics and Machine Learning Models in Databricks.
- [Integrate with Tableau](https://docs.predicthq.com/integrations/third-party-integrations/tableau-data-connector.md): Use events data in Tableau
- [Integrate with a Demand Forecast in PowerBI](https://docs.predicthq.com/integrations/third-party-integrations/integrate-with-a-demand-forecast-in-powerbi.md): Use PowerBI's AutoML models to forecast demand using PredictHQ technologies.
- [Google Cloud BigQuery](https://docs.predicthq.com/integrations/third-party-integrations/google-cloud-bigquery.md)


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