Data
Engineering on Azure: A Guide to DP-203 Certification
This guide equips you with a foundational understanding of key topics covered in the DP-203 exam, focusing on data engineering with Microsoft Azure.
Data Storage and Management on Azure
Storage Account Options:
Pointer 1: Identify the most suitable storage account type (e.g., Blob storage, Azure Data Lake Storage Gen2) based on your data access patterns (structured, unstructured, streaming).
Pointer 2: Leverage Azure Data Share for secure and controlled sharing of your data with internal or external collaborators.
Data Lifecycle Management:
Pointer 1: Implement Azure Storage Lifecycle Management policies to automate data movement between storage tiers based on access frequency and cost optimization goals.
Pointer 2: Explore Azure Purview for comprehensive data governance, including data lineage tracking and access control management.
Building and Orchestrating Data
Pipelines
Azure Data Factory (ADF):
Pointer 1: Master ADF's visual interface to design data pipelines that orchestrate data movement and transformation across various Azure services.
Pointer 2: Utilize ADF's scheduling capabilities to automate data pipeline execution at defined intervals or triggered by events.
Data Transformation Services:
Pointer 1: Choose between Azure Databricks for complex data processing scenarios requiring Apache Spark capabilities or Azure Functions for serverless event-driven data transformations.
Pointer 2: Explore Azure Data Catalog to register and discover data assets within your data pipelines, promoting collaboration and maintainability.
Data Warehousing and Analytics with Azure
Azure Synapse Analytics:
Pointer 1: Leverage Azure Synapse Analytics for large-scale data warehousing, combining data from various sources into a unified schema for advanced analytics.
Pointer 2: Utilize Synapse SQL notebooks for interactive data exploration and analysis within the data warehouse environment.
Power BI Integration:
Pointer 1: Integrate your Azure data warehouse with Power BI for intuitive data visualization and self-service analytics for end users.
Pointer 2: Implement Azure Active Directory (AAD) for secure role-based access control to your Power BI reports and dashboards.