Databricks - How to create your Data Quality Checks Notebooks
In this video we create our own custom notebooks for data quality checks in Databricks. We use a combination of python and SQL. The code can be found here: https://github.com/apostolos1927/Data... Follow me on social media: LinkedIn: www.linkedin.com/in/apostolos-athanasiou-9a0baa119 GitHub: https://github.com/apostolos1927/ 00:00 - Intro 01:20 - Data Quality Checks Notebooks

▶︎
Databricks - How to load historical data in Delta Tables(Batch processing)

▶︎
Learn Practical Techniques for Applying Data Quality in the Lakehouse with Databricks

▶︎
Learn Databricks in Under 2 Hours

▶︎
Databricks - Data Quality - PyDeequ - Introduction

▶︎
BrickTalks: Lakebase Autoscaling Deep Dive: How to OLTP with Databricks

▶︎
DQX Features & Demo | Databricks Data Quality Framework for PySpark

▶︎
Databricks Tutorial | Databricks Free Edition Tutorial with End-to-End Data + AI Project

▶︎
Delta Live Tables A to Z: Best Practices for Modern Data Pipelines

▶︎
Introduction to DBT with Databricks and VSCode

▶︎
How to Create Databricks Workflows (new features explained)

▶︎
Great Expectation Tutorial | Mastering Data Quality

▶︎
What is Databricks? The Story Behind the Modern Data Platform (Visual Explanation)

▶︎
Developer Best Practices on Databricks: Git, Tests, and Automated Deployment

▶︎
Elevating Data Quality Standards With Databricks DQX

▶︎
Databricks Declarative Pipelines Full Course | Master DELTA LIVE TABLES In 2025

▶︎
Introduction to Databricks Autoloader | Ιncremental ingestion at scale

▶︎
Getting started with DQX: Data Quality Framework

▶︎
Introduction to data validation in Databricks

▶︎
Building an End-to-End Data Project in Databricks (Free Edition)

▶︎
