DP-203 Data Engineering on Microsoft Azure

Handle missing data

Handle late-arriving data

Split data

Shred JSON

Encode and decode data

Configure error handling for a transformation

Normalize and denormalize data

Perform data exploratory analysis

Develop batch processing solutions by using Azure Data Lake Storage, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory

Use PolyBase to load data to a SQL pool

Implement Azure Synapse Link and query the replicated data

Create data pipelines

Scale resources

Configure the batch size

Create tests for data pipelines

Integrate Jupyter or Python notebooks into a data pipeline
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