This course replaced both DP-200 and DP-201

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.

About our Certification Fast Track

With our Certification Fast Track Training, you participate in official Microsoft training - but instead of a full week from Monday to Friday, the training is split into two smaller sections.

The Instructor-led part of the training is focused on hands on and best practices. The theoretical part of the courseware will be studied self-paced, in order not to loose precious practice time during your instructor led training days. Exam preparation is an important part of this training delivery - hence we include a Practice Test which will ensure that you will start your exam well prepared. To complete the offer the Exam Voucher is already included as well.

As a participant, you can use the time in between the training days to deepen or repeat content. In addition, you have the advantage of not being absent from work for an entire week, so that day-to-day business is not neglected.

Process of Certification Fast Track Training

After your registration you will receive an introduction to the program. You will also receive reminder e-mails from us along the way.

Below are your 5 steps of your Certification Fast Track training:

1. Self study part of the theory and labs (max 18 hours, which can be spread out over several weeks)
2. Take your 2-day Instructor Led Training, hands on practice and theory (The first 2 days of the displayed dates in the schedule)
3. Continue to practice your labs, studying your theory and complete the provided Official Microsoft Practice Test. The practice test shows you which topics need more attention.
4. Take your 1-day Instructor Led Exam Preparation Training. The instructor will clear out any questions that you have left (The last day of the displayed dates in the schedule). 
5. Use your MCP exam voucher to complete your exam within two weeks after the Exam Prep Training.

After completing your guided track, you will be able to benefit of being Certified in Data Engineering on Microsoft Azure!

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.

Prerequisites

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

Course Modules

• Introduction to data engineering on Azure
• Introduction to Azure Data Lake Storage Gen2
• Introduction to Azure Synapse Analytics
• Use Azure Synapse serverless SQL pool to query files in a data lake
• Use Azure Synapse serverless SQL pools to transform data in a data lake
• Create a lake database in Azure Synapse Analytics
• Analyze data with Apache Spark in Azure Synapse Analytics
• Transform data with Spark in Azure Synapse Analytics
• Use Delta Lake in Azure Synapse Analytics
• Analyze data in a relational data warehouse
• Load data into a relational data warehouse
• Build a data pipeline in Azure Synapse Analytics
• Use Spark Notebooks in an Azure Synapse Pipeline
• Plan hybrid transactional and analytical processing using Azure Synapse Analytics
• Implement Azure Synapse Link with Azure Cosmos DB
• Implement Azure Synapse Link for SQL
• Get started with Azure Stream Analytics
• Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
• Visualize real-time data with Azure Stream Analytics and Power BI
• Introduction to Microsoft Purview
• Integrate Microsoft Purview and Azure Synapse Analytics
• Explore Azure Databricks
• Use Apache Spark in Azure Databricks
• Run Azure Databricks Notebooks with Azure Data Factory