Life Sciences

Modernizing life science manufacturing

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Establish a Cloud Data Lake and Analytics Environment The first part of this reference architecture involves three steps, including store, process and analyze, and visualize For more information on Modernizing Life Science Manufacturing and other ways AWS can help your organization, visit us at: Modernizing Life Science Manufacturing Using AWS Services 2: Process and Analyze Connect historical plant device data hosted on Amazon S3 to AWS Glue for Extract, Transform, Load (ETL) operations that apply a Common Data Model (CDM) in preparation for follow-on whole floor production analytics. This data can be ingested into a database on AWS or stored as files on Amazon S3 to be used by supported analytics environments like Amazon EMR, Amazon Redshift Spectrum, or Amazon Athena. 1: Store Production data from control systems and 3rd party historians (e.g. OSIsoft PI) can be sent to AWS via a dedicated private network connection called AWS Direct Connect and run on Amazon EC2. Historic device data can be saved to Amazon Simple Storage Service (Amazon S3) for raw storage preparation for follow-on analysis or archived to Amazon Glacier. 3: Visualize Visualization tools like Amazon QuickSight and Jupyter Notebooks can connect to analytics environments and be supported by ERP dashboards that provide manufacturing stakeholders the information they need to optimize their full-scale plant floor operations. MES/SCADA Drug Manufacturing Plant AWS Raw Materials Blending Realtime & Analytics Dashboard Granulation & Drying Secondary Blending Tablet Press Coating & Packaging Virtual Private Cloud Analyst AWS Direct Connect Production Data Processing ETL Processing Data Visualization AWS Glue Jupyter Notebooks Amazon QuickSight AWS EMR Analytical Querying via Hadoop/Spark Production Data Processing Production Data Processing Data Lake Tier-2 Storage: Transformed Data Using Common Data Model Amazon S3 Data Lake Compliant to GAMP Archival standards 1. Store 3. Visualize Visualization Dashboard Corporate Office VPC VPC Subnet 2. Process & Analyze

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