Massive Data Processing in Adobe Experience Platform Using DeltaLake | AEM Community Blog Seeding

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Massive Data Processing in Adobe Experience Platform Using DeltaLake by Adobe Tech Blog

Abstract

In this blog post, we are going to go over how the data lake house architecture at Adobe Experience Platform combines with the Real-time Customer Profile architecture to increase our Apache Spark Batch workload throughputs and reduce costs while maintaining functionality.

Adobe Experience Platform enables you to drive coordinated, consistent, and relevant experiences for your customers no matter where or when they interact with your brand. With Adobe Experience Platform Real-time Customer Profile, you can see a holistic view of each individual customer that combines data from multiple channels, including online, offline, CRM, and third-party data. It allows you to consolidate your disparate customer data into a unified view offering an actionable, timestamped account of every customer interaction.

Architecture Overview
Given that the Adobe Experience Platform assimilates data from various sources, Real-time Customer Profile acts as the central hub ingesting data from different data sources; it stitches data together with the Adobe Identity Service and ships the data to various marketing destinations to enable new experiences.

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Massive Data Processing in Adobe Experience Platform Using DeltaLake

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