CData Power BI Connector for Google BigQuery 2019CData Power BI Connector for Google BigQuery 2019 - Build 19.0.7354
The CData Power BI Connector for Google BigQuery 2019 offers self-service integration with Microsoft Power BI. The connector facilitates live access to Google BigQuery data in Power BI from the Get Data window. The connector also provides direct querying to visualize and analyze Google BigQuery data.
See Getting Started for a guide to create the Google BigQuery data source and connect from the Get Data window.
Using the Data Connector
See Using the Connector for a walk-through of creating reports that query Google BigQuery in real time.
See SQL Compliance for a syntax reference and code examples outlining the supported SQL.
The connector supports Power BI's ability to embed data in a report, but it also supports robust caching. See Caching Data to configure replication and caching for a range of scenarios common to remote data access. Configurations include:
- Autocache: Automatically cache data to a lightweight database. Save data for later offline use or enable fast reporting from the cache.
- Replication: Copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, and so on. The replication commands allow for intelligent incremental updates to cached data.
- No caching: Work with remote data only. No local cache file is created.
See Data Model for information on the available database objects and how to use SQL to work with Google BigQuery APIs. This section provides more detailed information on querying specific Google BigQuery entities.
Connection String Options
The Connection properties describe the various options that can be used to establish a connection.