Delta Lake keeps improving with features that optimize performance and storage. Two of the most important recent features are: Let’s explore both in detail with examples you…

This tutorial covers how to perform upserts (MERGE) in Delta tables on Databricks, with both hard deletes and soft deletes (using SCD1 style). 1. 🔹 Introduction In…

This tutorial will walk you through core Delta Lake functionality in Databricks, including catalogs, schemas, tables, views, CTAS, deep clone, and shallow clone. Each section is backed…

this is exactly the core of Unity Catalog’s object model. The way Databricks resolves storage paths for managed tables depends on where you attach the external/managed location….

Databricks Unity Catalog Tutorial Managed vs External Tables + UNDROP (with External Location setup) Introduction (what we’ll build) You’ll learn to: What’s new in Databricks? (Updates &…

We will: Unity Catalog has a 4-level hierarchy: Metastore → Catalog → Schema → Table 👉 Today we’ll create three schemas to see how Unity Catalog stores…

Good Read – https://dataopsschool.com/blog/databricks-catalog-schemas-tables-with-external-location/ 1. Create Catalog without External Location 2. Create Catalog with SQL 3. Drop Catalog and Drop Catalog Recursively 4. Create External Location in…

🔑 Unity Catalog vs Catalogs vs Workspace vs Metastore 1. Unity Catalog (UC) ✅ 👉 Analogy: National Library System – it governs all libraries in a country….

Databricks Components Hierarchy 1. Account Level (Top Layer) 2. Governance & Data Management 3. Computation & Execution 4. Developer Interfaces 5. Data & AI Layers ✅ In…

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