Test your strategy by building a proof of concept (PoC), one of the first execution steps in the App Modernization Guidance for Azure. This best practice makes your plans tangible and transforms the theory of modernization into practice—in a practical way.
A high-level methodology for preparing and running an effective Azure Data Explorer proof of concept (POC) project.
Whether it's an enterprise data warehouse migration, a big data re-platforming, or a greenfield implementation, each project traditionally starts with a proof of concept (POC). The Synapse proof of concept playbook is a series of related articles that provide a high-level methodology for planning, preparing, and running an effective Azure Synapse Analytics POC project. The overall objective of ...
A high-level methodology for preparing and running an effective Azure Synapse Analytics proof of concept (POC) project for Data Explorer pool.
Synapse POC playbook: Big data analytics with Data Explorer pool in ...
A high-level methodology for preparing and running an effective Azure Synapse Analytics proof of concept (POC) project for dedicated SQL pool.
Synapse POC playbook: Data warehousing with dedicated SQL pool in Azure ...
The proof-of-concept (PoC) guidance in this series of articles helps you to learn, deploy, and test Microsoft Entra ID Protection to detect, investigate, and remediate identity-based risks. Detailed guidance for specific scenarios continues in these articles: Use real-time risk detection to grant access to protected resources Master risk analysis for effective remediation Bring identity risk ...
We recommend starting with a proof-of-concept (PoC) by provisioning a simple cluster in Azure, using Azure CycleCloud as a resource orchestrator, with one well-known scheduler, such as Slurm, PBS, or LSF. This approach allows one to start understanding Azure technology, assess the functionality of user applications, and investigate performance/costs trade-offs in comparison to the on-premises ...