DP-203: Data Engineering on Microsoft Azure

Course Information

Course Name

DP-203: Data Engineering on Microsoft Azure

Exam code

DP-203

Duration

4 Days

Certification

Microsoft Certified: Azure Data Engineer Associate

Overview

In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.

Audience Profile

The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

Prerequisities

At Course Completion

Course Outline

Module 1: Get started with data engineering on Azure

Module 2: Build data analytics solutions using Azure Synapse serverless SQL pools

Module 3: Perform data engineering with Azure Synapse Apache Spark Pools

Module 4: Transfer and transform data with Azure Synapse Analytics pipelines

Module 5: Implement a Data Analytics Solution with Azure Synapse Analytics

Module 6: Work with Data Warehouses using Azure Synapse Analytics

Module 7: Work with Hybrid Transactional and Analytical Processing Solutions using Azure

Synapse Analytics

Module 8: Implement a Data Streaming Solution with Azure Stream Analytics

Module 9: Implement a data lakehouse analytics solution with Azure Databricks

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