![]() ![]() 15 minutes is considered real-time for warehouse syncs.For an Interval schedule type, you can choose from: 15 minutes, 30 minutes, 1 hour, 2 hours, 4 hours, 6 hours, 8 hours, 12 hours, 1 day.Select how often you want the schedule to sync in Schedule configuration.Day and time: Extractions perform at specific times on selected days of the week.Interval: Extractions perform based on a selected time cycle.Select the Schedule type for the times you want the model’s data to be extracted from your warehouse.Select a test record to preview the fields that you can map to your destination in the Add test record field.In the Select record to map and send section, select which records to send to your destination after Segment completes extracting data based on your model.The list of Actions will be unique to each destination. Actions determine the information sent to the destination.Select the Action you want to sync and click Next.Select the destination that you want to create a mapping for.Navigate to Conections > Destinations and select the Reverse ETL tab.This ensures that all data syncs effectively. For a comprehensive data synchronization, Segment recommends that you first recreate the model, then establish a one-to-one mapping with the new model. When you add new mappings to an existing model, Segment only syncs changes that have transpired since the last sync, not the entire dataset. If your destination is not listed in the Reverse ETL catalog, use the Segment Connections Destination to send data from your Reverse ETL warehouse to your destination. In Reverse ETL, destinations are the business tools or apps you use that Segment syncs the data from your warehouse to. Once you’ve added a model, you need to add a destination. To add multiple models to your source, repeat steps 1-8 above. The data from the preview is extracted from the first 10 records of your warehouse. Click Preview to see a preview of the results of your SQL query.This column is used to detect new, updated, and deleted records. The Unique Identifier should be a column with unique values per record to ensure checkpointing works as expected.Choose a column to use as the unique identifier for each record in the Unique Identifier column field.Your model is used to map data to your Reverse ETL destinations. Enter the SQL query that’ll define your model.(Segment will add more modeling methods in the future.) Click SQL Editor as your modeling method.Navigate to Connections > Sources and select the Reverse ETL tab.After you add your source, you can add a model. Models are SQL queries that define sets of data you want to synchronize to your Reverse ETL destinations. Click Create Source if the test connection is successful.Īfter you add your data warehouse as a source, you can add a model to your source.Click Test Connection to test to see if the connection works.For Snowflake users: Learn more about the Snowflake Account ID here.Add the account information for your source.Follow the corresponding setup guide for your Reverse ETL source.Navigate to Connections > Sources and select the Reverse ETL tab in the Segment app.You need to be a user that has both read and write access to the warehouse. There are four components to Reverse ETL: Sources, Models, Destinations, and Mappings.įollow these 4 steps to set up Reverse ETL and learn what each component is about: Connect Google Sheets to a view in the warehouse for other business teams to have access to up-to-date reports.Pass offline or enriched data to conversion APIs like Facebook, Google Ads, TikTok, or Snapchat.Send data in the warehouse back into Segment as events that can be activated in all supported destinations, including Twilio Engage and other platforms.Sync enriched data to Mixpanel for a more complete view of the customer, or enrich Segment Unify with data from the warehouse.Sync audiences and other data built in the warehouse to Braze, Hubspot, or Salesforce Marketing Cloud for personalized marketing campaigns.This includes customer profile data, subscriptions, product tables, shopping cart tables, and more. Reverse ETL supports event and object data. For example, with Reverse ETL, you can sync records from Snowflake to Mixpanel. Reverse ETL (Extract, Transform, Load) extracts data from a data warehouse using a query you provide, and syncs the data to your 3rd party destinations. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |