This part is divided into four subareas shown below.
Ingest and transform data, Data transformation using DP-203 Apache Spark, Data transformation using Transact-SQL, Data transformation using Data Factory, Data transformation using Azure Synapse Pipelines, Data Transformation Using Stream Analytics, Data Cleaning, Split data, JSON shredding, Data encoding and decoding.
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Error configuration and transformation management., Normalization and denormalization values., Data transformation DP-203 exam dumps using Scala, Perform exploratory data analysis., Design and develop a batch processing solution., Develop batch processing solutions using Data Factory, Data Lake, Spark, Azure Synapse Pipelines, PolyBase, and Azure Databricks.
Creating data pipelines, Design and implementation of incremental data load, Design and develop dimensions that change slowly, Security and compliance requirements management, Develop resources, DP-203 dumps Set the batch size, Design and create tests for data pipelines, Integration of Jupyter/Python notebooks with the corresponding data pipeline,
This part is divided into four subareas shown below.
Ingest and transform data, Data transformation using DP-203 Apache Spark, Data transformation using Transact-SQL, Data transformation using Data Factory, Data transformation using Azure Synapse Pipelines, Data Transformation Using Stream Analytics, Data Cleaning, Split data, JSON shredding, Data encoding and decoding.
,
Error configuration and transformation management., Normalization and denormalization values., Data transformation DP-203 exam dumps using Scala, Perform exploratory data analysis., Design and develop a batch processing solution., Develop batch processing solutions using Data Factory, Data Lake, Spark, Azure Synapse Pipelines, PolyBase, and Azure Databricks.
Creating data pipelines, Design and implementation of incremental data load, Design and develop dimensions that change slowly, Security and compliance requirements management, Develop resources, DP-203 dumps Set the batch size, Design and create tests for data pipelines, Integration of Jupyter/Python notebooks with the corresponding data pipeline,
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