3. Databricks Managed vs External Tables | Create Delta Tables Using DataFrame, SQL & DeltaTable API

Описание: Welcome to CloudPandith Databricks Course 🚀

In this session, we clearly explain the difference between Managed Tables and External Tables in Databricks, and how to create Delta tables using multiple approaches in real production environments.

We also cover Delta Lake constraints such as PRIMARY KEY, NOT NULL, and CHECK, which are frequently asked in Databricks interviews and critical for data quality enforcement.

🔍 Topics Covered in This Session
🔹 Managed Table vs External Table

✔ What is a Managed Table
✔ What is an External Table
✔ Storage location differences
✔ What happens when you DROP a table
✔ Use cases for managed vs external tables
✔ Interview comparison points

🔹 Different Ways to Create Delta Tables

✔ Create Delta table from DataFrame
✔ Create Delta table using DeltaTable Builder API
✔ Create Delta table using SQL (CREATE TABLE)
✔ Create Delta table using CTAS
✔ Managed vs External Delta table creation

🔹 Delta Lake Constraints

✔ PRIMARY KEY constraint
✔ NOT NULL constraint
✔ CHECK constraint
✔ How constraints improve data quality
✔ Limitations of Delta constraints
✔ Real-world use cases

🧠 What You Will Learn

How Databricks manages table storage internally

When to use managed vs external tables

Multiple Delta table creation techniques

How to enforce data quality using Delta constraints

How to explain this topic confidently in interviews

🎯 Who Should Watch

Databricks Interview Candidates

Data Engineers

ETL Developers

Lakehouse Architects

Azure Databricks Professionals

📩 CloudPandith Training Contact

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