📄️ Summary
Pyplan Enterprise can be connected to different data origins using the different Pyplan libraries available for that purpose.
📄️ sFTP
AWS Transfer Family
📄️ Azure Data Lake
Pyplan connects to Azure Data Lake Storage Gen2 (ADLS Gen2) using the Azure SDK for Python. This integration is outbound from Pyplan to Azure and supports both file upload and download operations.
📄️ BigQuery
Pyplan connects to Google BigQuery using the Google Cloud client library for Python. This integration is outbound from Pyplan to Google Cloud Platform and supports both reading data from BigQuery and writing data into BigQuery tables.
📄️ Snowflake
Pyplan connects to Snowflake using the Snowflake Connector for Python. This integration is outbound from Pyplan to Snowflake and supports both reading data from Snowflake and writing data into Snowflake objects.
📄️ Power BI
Pyplan allows you to retrieve data in JSON format, which can then be seamlessly imported and analyzed in Power BI. Follow the steps below to connect Pyplan with Power BI and retrieve data using an API endpoint.
📄️ SAP
Pyplan can integrate with SAP through REST APIs in two complementary ways: