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Use case

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Optimizing Data Management with Preprocessing

This project is an example of adding the power of preprocessing to your analytics pipeline. We show you how to combine your historical static data with real-time data then add preprocessing for compliance, storing only the data that's essential for reporting and analysis. This will help to maintain adherence to data processing regulations as well as reduce compute and storage costs.

Use cases:

Gaming

Created by:

Quix

An architecture diagram showing a real time data preprocessing pipeline or DAG

Main project components

User DB CDC

Subscribe to changes made to the User Database.

Analytics API

Subscribe to telemetry data being emitted from your servers.

Anonymization

Sanitize confidential data before it hits your analytics process.

Preprocessing Service

Combine, filter and aggregate your real time and static data sources before performing further analysis.

Recommendation Engine

Generate customer recommendations in real time on live data.

S3 Apache Iceberg Sink

Sink analytics data to S3 in Apache Iceberg format.

Technologies used

Using this template

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