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Add your source and destination
Connect to 15+ data sources, like Greenplum Database, and 125+ destinations, like LaunchDarkly.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to LaunchDarkly, and start syncing.
Model your Greenplum Database data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Query using looks. Hightouch turns your look into SQL and will pull from your source.
Create and Edit SQL from your browser. Hightouch supports SQL native to Greenplum Database.
Select available tables and sheets from Greenplum Database and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Greenplum Database using our visual segmentation builder.
Does this integration support in-warehouse planning?
Yes, if you integerate Greenplum Database and LaunchDarkly using Hightouch, in-warehouse planning is supported.
Great, but what is in-warehouse planning?
Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case LaunchDarkly). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.
The issue here is this can be slow for large models.
Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this works here.
Create new user segments and add users to them when fresh data is added to your data warehouse
Update users to included, excluded, or custom rule user segments as data is updated in the warehouse
About Greenplum Database
Greenplum reduces data silos by providing you with a single, scale-out environment for converging analytic and operational workloads, like streaming ingestion.
LaunchDarkly is a feature management platform that gives software companies more control over which features are visible to their end users. Feature flags help developers decouple code deployments from product launches, reducing risk for the business while empowering teams to experiment and innovate more quickly.Learn more about LaunchDarkly
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Operational Analytics shifts the focus from simply understanding data to taking action on it in the tools that run business processes. Instead of using dashboards to make decisions, Operational Analytics is focused on turning insights into action – automatically.
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