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In smart manufacturing, a scalable edge platform and the ability to quickly implement business-relevant use cases are crucial for success. With Azure IoT Operations and Microsoft Fabric, Microsoft offers two revolutionary technologies that provide real-time insights into production. Learn how these solutions unlock the potential of use cases such as predictive maintenance, process optimization and generative AI, transforming them from concepts into real value drivers.

With Snowflake Document AI, information can be easily extracted from documents, such as invoices or handwritten documents, within the data platform. Document AI is straightforward and easy to use: either via a graphical user interface, via code in a pipeline or integrated into a Streamlit application. In this article, we explain the feature, describe how the integration into the platform works and present interesting application possibilities.

You want to manage your infrastructure with Terraform, but then it happens – manual changes are made, and you need to find a solution. How to handle this depends on the specific case.

One of Terraform’s greatest strengths is its ability to handle changes made outside its managed resources. The keywords are: data, import, removed, ignore_changes, lock, variables.

SAP data integration is complex: performance issues, storage limitations, and third-party system integration pose significant challenges for businesses. With our flexible framework, you can create a powerful and scalable solution that seamlessly complements SAP BW and S/4HANA—efficient, future-proof, and cost-effective.

Learn how to extend AWS Redshift capabilities with minimal complexity by using Lambda, Fargate, and SQS.

Many security considerations involving Azure revolve primarily around network security. Other important security aspects to be considered in the context of Microsoft Fabric are indicated below.