Sold by: Version 1
Many manufacturers face slow insights and inconsistent reporting due to fragmented OT and IT data across shop-floor systems and enterprise applications.
This solution delivers a governed, AWS-native manufacturing data lake integrated with Databricks, unifying OT and IT data for consistent, secure analytics. With automated ingestion, curation, and governance, it accelerates insights for OEE, downtime, quality, scrap, and energy optimisation.
Overview
The Manufacturing Data Lake on AWS with Databricks enables manufacturers to unify fragmented OT (Operational Technology) and IT (Information Technology) data into a single, governed platform for analytics and reporting. Built on AWS-native services including Amazon S3, AWS Glue, AWS Lambda, AWS Step Functions, and AWS Lake Formation, this solution delivers a production‑ready data lake foundation that automates data ingestion, transformation, and governance at scale.
By integrating Databricks for scalable data processing and collaborative analysis, the solution accelerates insights into OEE, downtime, quality, scrap, predictive maintenance, and energy optimisation. Manufacturing teams gain secure, centralised access to trusted data, enabling consistent, audit‑ready analytics across shop‑floor systems such as MES, SCADA, PLC, and historians, as well as enterprise systems like ERP, WMS, and CMMS.
Delivered and supported by Version 1, this implementation aligns with AWS Well‑Architected best practices and leverages governed data zones, automated pipelines, and fine‑grained access controls via Lake Formation and Unity Catalog. The result is a secure, scalable, and compliant data lake that empowers manufacturers to modernise their data infrastructure, unlock faster insights, and drive continuous operational improvement.
Highlights
- Unify fragmented OT and IT data with a fully governed AWS-native manufacturing data lake powered by Amazon S3, AWS Glue, and Lake Formation, delivering reliable, secure access to trusted analytics across shop-floor and enterprise systems.
- Accelerate manufacturing analytics and reporting for OEE, downtime, quality, scrap, and energy optimisation using Databricks for scalable data processing, advanced analytics, and collaborative data science.
- Deploy a production-ready, Well-Architected data platform aligned to AWS best practices, featuring automated ingestion pipelines, governed S3 data zones, and unified governance with Lake Formation and Unity Catalog.
Details
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Deployed on AWS
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Contact: awsmarketplace@version1.com