{Customer Insights} Accelerate time to insights with data in Delta Lake format

Today I am going to share my thoughts on customer insights accelerate time to insights with data in Delta Lake format.

Let’s get’s started.

Let delve unto how Delta Lake format can accelerate time to insights with data in various contexts:

Business Value: Your customer data is constantly evolving, with signals like online activities and mobile interactions changing rapidly. Traditional data warehouses can lead to increased time to insights as the volume of unprocessed signals grows.

Solution: With native support for Delta Lake storage format in Customer Insights, you can:

Accelerate ingestion, unification, and insights processing using incremental updates from the Delta Lake.

Get customer profiles and associated insights updated more frequently, allowing you to react to customer engagements based on the most current information available.

Create relevant and personalized experiences for your customers and timely insights for business users.

Automatically benefit from incremental processing for unification, segments measures, activities and predictions.

Note: In this initial release, incremental unification requires that all source tables involved in the unification process use the Delta format.

Solution: Use Azure Synapse Link for Dataverse to export your Microsoft Dataverse data to Azure Synapse Analytics in Delta Lake format.

This enables you to explore your data and accelerate time to insight.

In summary, Delta Lake format allows you to track changes over time, process data incrementally, and ensure consistently up-to-date customer profiles and insights. It’s a powerful tool for staying agile in a dynamic data landscape.

That’s it for today.

I hope this helps.

Malla Reddy Gurram(@UK365GUY)

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