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Introduction to Delta Live Tables (DLT) in Databricks
6 Scenarios
2 Hours 35 Minutes
Intermediate
Industry
general
Skills
approach
data-wrangling
batch-etl
data-quality
data-storage
data-understanding
Tools
databricks
Learning Objectives
Understand the difference between Procedural ETL and Declarative ETL approaches.
Understand DLT Datasets and their role in data pipelines.
Understand what expectations are in Delta Live Tables (DLT) and how they ensure data quality.
Understand how to create and configure a Delta Live Tables (DLT) pipeline using Python & SQL
Overview
Prerequisites
- Familiarity with basic ETL concepts and processes.
- Hands-on experience with PySpark for data transformations.
- An understanding of basic data quality checks, such as null value handling and validation rules.
- Have knowledge of Python functions or SQL syntax