Exam DP-203: Data Engineering on Microsoft Azure
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Exam DP-203: Data Engineering on Microsoft Azure at Microsoft Overview
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Exam DP-203: Data Engineering on Microsoft Azure at Microsoft Highlights
- Earn a certificate from Microsoft after successful completion of the program
Exam DP-203: Data Engineering on Microsoft Azure at Microsoft Course details
- Design and implement data storage
- Design and develop data processing
- Design and implement data security
- Monitor and optimize data storage and data processing
- Candidates will have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions
- Azure Data Engineers help stakeholders understand the data through exploration, and they build and maintain secure and compliant data processing pipelines by using different tools and techniques
- These professionals use various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis
Exam DP-203: Data Engineering on Microsoft Azure at Microsoft Curriculum
Azure for the Data Engineer
Understand the evolving world of data
Survey the services on the Azure Data platform
Identify the tasks of a data engineer in a cloud-hosted architecture
Store data in Azure
Understand the evolving world of data
Survey the services on the Azure Data platform
Identify the tasks of a data engineer in a cloud-hosted architecture
Data integration at scale with Azure Data Factory or Azure Synapse Pipeline
Integrate data with Azure Data Factory or Azure Synapse Pipeline
Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline
Populate slowly changing dimensions in Azure Synapse Analytics pipelines
Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline
Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline
Operationalize your Azure Data Factory or Azure Synapse Pipeline
Send and receive data using Azure Data Share and transform data using Azure Data Factory
Realize Integrated Analytical Solutions with Azure Synapse Analytics
Introduction to Azure Synapse Analytics
Survey the Components of Azure Synapse Analytics
Explore Azure Synapse Studio
Design a Modern Data Warehouse using Azure Synapse Analytics
Work with Data Warehouses using Azure Synapse Analytics
Design a Modern Data Warehouse using Azure Synapse Analytics
Design a multidimensional schema to optimize analytical workloads
Use data loading best practices in Azure Synapse Analytics
Optimize data warehouse query performance in Azure Synapse Analytics
Integrate SQL and Apache Spark pools in Azure Synapse Analytics
Understand data warehouse developer features of Azure Synapse Analytics
Manage and monitor data warehouse activities in Azure Synapse Analytics
Analyze and optimize data warehouse storage in Azure Synapse Analytics
Secure a data warehouse in Azure Synapse Analytics
Perform data engineering with Azure Synapse Apache Spark Pools
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