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Training
Certificate
Course Information
Course Name
DP-203: Data Engineering on Microsoft Azure
Exam code
DP-203
Duration
4 Days
Certification
Overview
Audience Profile
Prerequisities
At Course Completion
Course Outline
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.
Overview
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
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
Prerequisities
At Course Completion
At Course Completion
Course Outline
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
