Data lake
A data lake in D365 is a highly scalable, secure cloud-based big data storage repository used to house raw, structured, and unstructured enterprise datasets exported continuously from the platform database. Powered by native Synapse Link configurations, it replicates transactional modifications asynchronously behind the scenes to provide data lake files for multi-dimensional analytical reporting.
How do you run complex analytical query loops over a D365 data lake?
Transitioning your corporate business intelligence strategy toward a decoupled cloud data lake architecture is a vital technical choice for preserving high user interface velocities. In legacy environment topologies, running intensive, multi-million-row financial reporting calculations directly against active relational databases causes severe database table locks and application lag.
The data lake framework removes this performance risk entirely by mirroring subledger transaction histories smoothly using lightweight metadata formats. This decoupled database structure enables data scientists and cost controllers to query massive transaction histories cleanly, combining e-commerce metrics with logistics logs without affecting live business applications, maximizing system availability.
Extracting strategic value from unformatted cloud data lakes demands a robust semantic presentation layer. To convert these massive cloud repositories into clear, multi-dimensional visual dashboards and automated trend maps, connecting your environments to an optimized Microsoft Power BI framework is the recommended best practice.
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We're DeliveredSoft, an Microsoft Dynamics 365 Partner based in Europe. With experts in Poland, Denmark and Spain, we build custom solutions using Microsoft Dynamics 365 for clients across a range of industries.