Databricks Free Edition| ELT With Spark | Deduplication & COUNT Explained | Databricks Certification скачать в хорошем качестве

Databricks Free Edition| ELT With Spark | Deduplication & COUNT Explained | Databricks Certification

Master essential Databricks concepts for your certification prep! In this video, we dive deep into Delta Lake best practices, focusing on deduplication and data validation techniques. You'll learn how to: ✔️ Use count_if and count where x is null functions effectively ✔️ Understand how count(row) behaves with NULL values ✔️ Remove duplicate rows from Delta Lake tables ✔️ Create new tables while deduplicating existing data ✔️ Deduplicate data based on specific columns ✔️ Validate primary key uniqueness across all rows ✔️ Ensure one field maps to only one unique value in another field ✔️ Validate the absence of unwanted values in a field These concepts are critical for Databricks Data Engineer Associate Certification and real-world projects. Grab the handson script here: https://github.com/datatez80/databric... Subscribe for more hands-on Databricks tutorials and certification tips!