The course is replacing DP-200 and DP-201.
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.
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.
What you’ll learn
Module 1: Introduction to data engineering on Azure
Module 2: Introduction to Azure Data Lake Storage Gen2
Module 3: Introduction to Azure Synapse Analytics
Module 4: Use Azure Synapse serverless SQL pool to query files in a data lake
Module 5: Create a lake database in Azure Synapse Analytics
Module 6: Analyze data with Apache Spark in Azure Synapse Analytics
Module 7: Transform data with Spark in Azure Synapse Analytics
Module 8: Use Delta Lake in Azure Synapse Analytics
Module 9: Analyze data in a relational data warehouse
Module 10: Load data into a relational data warehouse
Module 11: Build a data pipeline in Azure Synapse Analytics
Module 12: Use Spark Notebooks in an Azure Synapse Pipeline
Module 13: Plan hybrid transactional and analytical processing using Azure Synapse Analytics
Module 14: Implement Azure Synapse Link with Azure Cosmos DB
Module 15: Implement Azure Synapse Link for SQL
Module 16: Get started with Azure Stream Analytics
Module 17: Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
Module 18: Visualize real-time data with Azure Stream Analytics and Power BI
Module 19: Introduction to Microsoft Purview
Module 20: Integrate Microsoft Purview and Azure Synapse Analytics
Module 21: Explore Azure Databricks
Module 22: Use Apache Spark in Azure Databricks
Module 23: Run Azure Databricks Notebooks with Azure Data Factory
Accreditation
ITCE is a Microsoft accredited Solutions Partner for Data & AI.
Calendar
Frequently Asked Questions
Who should attend?
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 data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
Are there any prerequisites for this course?
Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
Specifically completing:
- AZ-900 – Azure Fundamentals
- DP-900 – Microsoft Azure Data Fundamentals
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