Manufacturing companies collect a large amount of process data, but common issues, such as disparate data sources, stranded data, and ownership, make it difficult to identify insights. In this session, learn how to build a data lake on AWS using services such as Amazon EC2, Amazon S3, AWS Lambda, and IAM. Also, we review a reference architecture supporting data ingestion, event rules, analytics, and the use of machine learning (ML) for manufacturing analytics. We also discuss how a large printer manufacturer created a data lake by combining streaming manufacturing plant data with batch data from their SAP system and suppliers to create a single source of truth.