Four Gotchas to know before using Databricks Unity Catalog
<p>In the ever-evolving landscape of data management, Databricks has been a game-changer. Among its suite of tools, Unity Catalog has garnered significant attention. For the uninitiated, Unity Catalog is more than just another metastore — it’s a powerful solution designed to streamline, govern and enhance your data operations. Its range of capabilities and features can be overwhelming, and I’ve taken a deep dive into these in an <a href="https://geekypy.com/databricks-unity-catalog-what-and-why-e26dab89d876" rel="noopener ugc nofollow" target="_blank">earlier article</a>.</p>
<p>However, as is true with any software, perfection is a journey, not a destination. Unity Catalog, despite its robustness, has nuances(May be i should call these as design choices) that users should be aware of, especially if they’re transitioning from other Metastores. A comparison with the tried-and-true Hive Metastore offers an illustrative lens to understand some of these peculiarities.</p>
<p><a href="https://geekypy.com/four-gotchas-to-know-before-using-databricks-unity-catalog-2467aa865bd1"><strong>Learn More</strong></a></p>