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Databricks data engineer certification
·
Module 8
Declarative Pipelines with Delta Live Tables (DLT)
1
Unlocking Production Pipelines with Delta Live Tables
Describe the purpose and benefits of Delta Live Tables (DLT) for building production pipelines.
2
Understanding Bronze, Silver, and Gold Tables
Define Bronze, Silver, and Gold tables using the medallion architecture pattern.
3
Creating Live Tables with SQL
Implement a DLT pipeline using SQL syntax (`CREATE LIVE TABLE`).
Building DLT Pipelines with Python Decorators
Implement a DLT pipeline using Python decorators (`@dlt.table`).
5
Enforcing Data Quality with DLT Expectations
Apply expectations to DLT tables to enforce and monitor data quality.
6
Triggered vs. Continuous Pipelines
Differentiate between triggered and continuous pipeline execution modes.
7
DLT Pipeline Configuration
Configure DLT pipeline settings, including target schema and storage location.
8
Troubleshooting DLT Pipelines with Event Logs
Monitor pipeline runs and interpret the DLT event log for troubleshooting.
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Processing Streaming Data with Structured Streaming
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Orchestrating Production Workflows