- Getting Started
- Using Hevo
- Familiarizing with the Pipelines UI
- Pipeline Modes
- Types of Data Synchronization
- Pipeline Objects
- Data Ingestion
- Handling of Updates
- Data Loss Prevention
- Parsing Nested JSON Fields in Events
- Table and Column Name Compression
- Hevo-generated Metadata
- Working with Pipelines
- Python Code-Based Transformations
- Drag and Drop Transformations
- Transformation Reference
- Using Schema Mapper
- Mapping Statuses
- Auto Mapping Event Types
- Mapping a Source Event Type with a Destination Table
- Mapping a Source Event Type Field with a Destination Table Column
- Schema Mapper Actions
- Fixing Unmapped Fields
- Resolving Incompatible Schema Mappings
- Resizing String Columns in the Destination
- Creating File Partitions for S3 Destination through Schema Mapper
- Schema Mapper Compatibility Table
- Free Sources
- Cloud Applications
- Amazon DynamoDB
- Amazon Redshift
- SQL Server
- File Storage
- Marketing & Email
- Sdk & Streaming
- Familiarizing with the Destinations UI
- Name Sanitization
- Amazon Redshift
- Google BigQuery
- Hevo Managed Google BigQuery
- Loading Data to a Data Warehouse
- Manually Triggering the Loading of Events
- Concepts and Reference
- Personal Settings
- Team Settings
- About Hevo
- Release Version 1.60 (06-Apr-2021)
- Release Version 1.59 (23-Mar-2021)
- Release Version 1.58 (09-Mar-2021)
- Release Version 1.57 (22-Feb-2021)
- Release Version 1.56 (09-Feb-2021)
- Release Version 1.55 (25-Jan-2021)
- Release Version 1.54 (12-Jan-2021)
- Release Version 1.53 (22-Dec-2020)
- Release Version 1.52 (03-Dec-2020)
- Release Version 1.51 (10-Nov-2020)
- Release Version 1.50 (19-Oct-2020)
- Release Version 1.49 (28-Sep-2020)
- Release Version 1.48 (01-Sep-2020)
- Release Version 1.47 (06-Aug-2020)
- Release Version 1.46 (21-Jul-2020)
- Release Version 1.45 (02-Jul-2020)
- Release Version 1.44 (11-Jun-2020)
- Release Version 1.43 (15-May-2020)
- Release Version 1.42 (30-Apr-2020)
- Release Version 1.41 (Apr-2020)
- Release Version 1.40 (Mar-2020)
- Release Version 1.39 (Feb-2020)
- Release Version 1.38 (Jan-2020)
Connecting Tableau to Hevo
Read through this section to connect Tableau to your managed BigQuery data warehouse.
Readpermissions on the service account.
- Tableau connection settings downloaded from Hevo.
Access your Tableau application.
In the left navigation pane, under Connect, select To a Server.
Select Google BigQuery.
Sign-in to your Tableau application with your Hevo Google/G-Suite/Identity account.
Click ALLOW to authorize Tableau to access your Google BigQuery data.
Select the Billing Project and Project as mentioned in the credentials provided by Hevo.
* The values provided in the image are indicative.
Select the Dataset mentioned in the credentials provided by Hevo. You can see the tables from your BigQuery warehouse in the Table list.
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