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Databricks Data Engineer Certification
·
Module 6
Declarative Pipelines with Delta Live Tables
1
Building a DLT Pipeline: Python Decorators & SQL
Implement a DLT pipeline using both Python decorators and SQL syntax.
2
Streaming Tables & Materialized Views in DLT
Create streaming tables and materialized views in DLT and compare their behavior.
3
Enforcing Data Quality with DLT Expectations
Implement data quality constraints using DLT expectations (expect, expect or drop, expect or fail).
4
Configuring DLT Pipeline Modes
Configure DLT pipeline settings including development vs. production mode.
5
Monitoring DLT Pipelines and Interpreting Event Logs
Monitor DLT pipeline execution and interpret the event log.
6
Troubleshooting DLT Pipelines
Diagnose and resolve DLT pipeline failures using the UI, event log, and built-in recovery actions.
Previous module
Building Streaming Data Pipelines
Next module
Data Modeling with the Medallion Architecture