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Data lake and analytics - Manufacturing on AWS

Data lake and analytics

The data lake and analytics diagram shows how to process, analyze, and derive insights from manufacturing data.

Data lake and analytics diagram showing processing and analysis of manufacturing data on AWS.

  1. Use Lake Formation or Amazon S3 for the data lake structure to store raw and processed manufacturing data.

  2. Use Amazon Managed Service for Apache Flink for streaming analytics on real-time factory data.

  3. Use Lambda for near real-time analytics and event-driven processing.

  4. Use Amazon SageMaker AI to build, train, and deploy ML models for predictive maintenance and quality.

  5. Use Amazon EMR for large-scale data processing and transformation.

  6. Use Amazon Forecast for demand forecasting.

  7. Use Amazon Redshift for structured data warehousing and analytics.

  8. Use Amazon Quick Sight with Amazon Athena and Amazon Redshift for business intelligence (BI) dashboards.