Query Service and Data Distiller overview

Adobe Experience Platform Query Service enables users to explore, validate, and transform customer experience data stored in the data lake using SQL, with enhanced capabilities like data output and scheduling available through the Data Distiller add-on. This video provides an overview of core features to help users understand how to leverage Query Service across various Platform-based applications. For more information, please visit the Query Service documentation.

Basic usage

Run Queries with Query Service

Run Queries with Query Service

Learn how to use the Adobe Experience Platform Query Editor to create, run, and manage SQL queries efficiently. Viewers will learn how to use features like the object browser, autocomplete, parameterized queries, and scheduling tools to streamline data workflows and generate actionable insights across their organization.

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Validate data with Query Service

Validate data with Query Service

Learn how to validate ingested data using SQL functions.

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Derive data with Data Distiller

Derive data with Data Distiller

Learn how data engineers can use query service to transform data and output new datasets. Run these queries on a schedule to to power automated dashboards and segmentation.

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Data visualization in external tools

Connect Tableau to Query Service

Connect Tableau to Query Service

Learn how to connect to Query Service from a variety of desktop client applications that supports PostgreSQL protocol and how to use PostgreSQL tools and drivers to connect and write queries.

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Analyze and visualize omni-channel insights in Tableau using Query Service

Analyze and visualize omni-channel insights in Tableau using Query Service

Learn how you can use Adobe Experience Platform's Query Service with external data visualization tools using a churn analysis example.

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Recharge your customer data to deliver electrifying experiences

Recharge your customer data to deliver electrifying experiences

Learn how to mitigate the impact of low-quality data, reduce time to value, and multiply ROI by using the same data for multitude of use cases.

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