- Getting Started
- Using Hevo
-
Pipelines
- Familiarizing with the Pipelines UI
- Pipeline Concepts
- Working with Pipelines
- Transformations
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Schema Mapper
- 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
- Sources
- Destinations
- Transform
- Activate
- Concepts and Reference
- Account Management
- About Hevo
- FAQs
-
Release Notes
- 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 Chartio to Hevo
Refer to this section to connect Chartio to your managed BigQuery data warehouse.
Prerequisites
- An active Chartio account.
- Chartio connection settings downloaded from Hevo.
Steps
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Log in to your Chartio account.
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Click Data in the list of tabs, and then ADD DATA SOURCE.
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Select BigQuery as the data warehouse.
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Click Drop Service Account JSON⦠to attach the JSON file having the connection settings, which you downloaded in Hevo.
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In the Connect BigQuery Data Source page:
* The values provided in the image are indicative.
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Specify an Alias for your managed BigQuery data warehouse connection in Chartio.
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Specify the Maximum Bytes Billed. Any queries costing beyond this automatically fail.
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Click Submit.
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Once the tables are successfully loaded, click Explore Data to start analyzing the data.
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