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Pipelines
- Introduction & common operations
- Pipeline jobs
- Transformations
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Schema mapper
- Introduction to Schema Mapper
- How to use Schema Mapper
- How to map a Source Event Type with a Destination Table using Schema Mapper
- How to map a Source Event Type Field with a Destination Table Column
- How to Fix Unmapped Fields for an Event Type
- How to resolve incompatible schema mappings
- How to Resize String Columns in the Destination
- Auto Mapping Event Types
- Creating File Partitions for S3 Destination through Schema Mapper
- Mapping Statuses
- Schema Mapper Compatibility Table
- Advanced concepts
- Batching & throughput
- Miscellaneous
- Events
- Sources
- Destinations
- Model And Workflows
- Platform
- Account Management
- FAQs
- Release Notes
Release Version 1.39 (Feb-2020)
ON THIS PAGE
Data Sources
- Added support for Google Sheets as a data source [Learn more about Google Sheets Connector here]
Data Destinations
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Enhanced Google BigQuery destination set up to provide users the ability to create dataset and GCS bucket as part of the setup
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Enhanced handling of long text columns for MySQL and Microsoft SQL Server destinations
UI
- Enhanced pipeline jobs management to provide users the ability to perform collective actions across multiple jobs with a single click
- Activity Log enhancements
- Enhanced Model Activity Logs to show model run information (status information and failure details, if any)
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