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Transcript

In this video, I’m going to give you a quick introduction to streaming ingestion with ÃÛ¶¹ÊÓƵ Experience platform. At ÃÛ¶¹ÊÓƵ, we believe people by experiences, not products. And to deliver powerful and compelling experiences, you need up to date information so you can make meaningful decisions in milliseconds. So what does this mean? It means providing the fastest path to update a real time customer profile. It means being able to convert hundreds of thousands of signals into actionable insights as quickly as possible. Using experience platforms, streaming, ingestion. You can be sure that any data you send will be available in the real time customer profile. This data can be captured on your website or mobile apps, CRM and ERP systems, or from any other source which is able to communicate over Http or public cloud streaming infrastructure. Data sent through streaming to experienced platform is stitched together with existing data and the real time customer profile in real time. You can then use this data for real time segmentation and to activate other marketing processes with the ÃÛ¶¹ÊÓƵ Experience Platform extension in the launch interface. You can quickly configure your websites to send data directly to experience Platform. If you’re sending personally identifiable information or other sensitive data to platform, you can configure data collection to be secure and prevent data from untrusted sources.

To help make debugging easier. Streaming. Ingestion provides two modes of validation. Synchronous and asynchronous. In synchronous mode, streaming ingestion will drop records which fail zdm validation and include the reason for the failure. These failed records will not be sent downstream. Synchronous validation provides immediate feedback to help you maintain velocity as you figure out how to work with Xdm formatted Json payloads.

An asynchronous mode where data loss must be prevented. Streaming validation will detect and move bad data to a separate location in the experience platform. Data Lake.

Once data starts flowing, you can monitor it in the platform interface. Experience platform lets you observe incoming data all the way from collection to consumption in the data lake and real time customer profile. All streaming ingested data lands in the Experience Platform Data Lake, and is available with a maximum latency of 15 minutes.

In parallel, the ingested data builds out identity graphs and the real time customer profile. To learn more about streaming ingestion, head on over to the ÃÛ¶¹ÊÓƵ Experience Platform documentation. I hope you enjoyed this overview of streaming, ingestion and ÃÛ¶¹ÊÓƵ Experience platform.