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 can run inside…
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 Delta Lake, the…
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 with SQL and…
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. Let’s break it…
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 & Releases) In the…
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 managed table data…
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 Databricks 5. Create…
🔑 Unity Catalog vs Catalogs vs Workspace vs Metastore 1. Unity Catalog (UC) ✅ 👉 Analogy: National Library System – it governs all libraries in a country. 2. Catalogs 📚…
Databricks Components Hierarchy 1. Account Level (Top Layer) 2. Governance & Data Management 3. Computation & Execution 4. Developer Interfaces 5. Data & AI Layers ✅ In one line: