The Microsoft Architecture Explained
Welcome to “The Microsoft Architecture Explained” series, your guide to comprehending the bigger picture of Data Platform design using Microsoft tools. In this dedicated section, we step back to take a holistic view of data architecture, offering insights into the selection of sample architectures alongside their requirements (de-identified for privacy).
My aim is to shed light on why specific architectures were chosen, providing valuable lessons for your own design decisions. Dive into discussions on tool selection criteria, understanding why Synapse might be the right choice over Azure SQL, Snowflake, or others. Learn when and why to consider leveraging particular tools based on your unique requirements.
Whether you’re a seasoned architect, a data enthusiast, or someone navigating the complex landscape of data platform design, this category is your compass. Explore the strategic thinking, architectural choices, and tool selection wisdom that can guide you towards optimal data solutions with Microsoft’s robust toolkit.
Migrating Delta Lake Objects Between Environments with Azure Synapse Introduction I had, what I thought to be, a fairly standard use case come across my desk related to deploying delta lake objects between logical dev/test/prod environments in my recent implementation of delta lake architecture. At the surface, this seems like it would be fairly straightforward …
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