In this 4-day instructor-led course participants will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. Participants will also learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. Additionally, students will learn the various ways they can transform the data using the same technologies that is used to ingest data. The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. Lastly, students will then show how the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics. Note: students should start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. Courses covering this prerequisite content include:
Target Audience
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.
What You'll Learn
- Explore compute and storage options for data engineering workloads in Azure
- Design and Implement the serving layer
- Understand data engineering considerations
*Request Detailed Syllabus
Related Links: Microsoft Certified: Azure Data Engineer Associate
- Course Number DP-203
- Course Length 4 days
- Course Fee $2,295.00
- Delivery Format vILT (Instructor Led; Virtual LIVE Online; Remote Training)
- Course Topic Architecture and Design
- Vendor Microsoft
- Technology Azure
Need a different date? This course is also offered on these dates
| Date | Course ID | Course Name | Duration | Delivery Format | Registration | |
|---|---|---|---|---|---|---|
| 04/30/2024 | DP-203 | Data Engineering on Microsoft Azure (DP-203) | 4 days | vILT | Register | |
| 05/13/2024 | DP-203 | Data Engineering on Microsoft Azure (DP-203) | 4 days | vILT | Register | |
| 06/24/2024 | DP-203 | Data Engineering on Microsoft Azure (DP-203) | 4 days | vILT | Register | |
| 07/08/2024 | DP-203 | Data Engineering on Microsoft Azure (DP-203) | 4 days | vILT | Register |
About the instructorPeter Avila
Microsoft Certified TrainerPeter is a consultant specializing in the design and development of database systems using SQL Server and .Net technologies. Peter has operated a nation-wide consulting business since 1991. He was a course designer and instructor of database and software development technologies at Harvard University; UC Berkeley, and the Worcester Polytechnic Institute, and he is author of “An Intuitive Approach to Database Design; An Introduction to Data Modeling.”
Peter uses an intuitive approach to learning that applies the way we all learn in the real world and gives students experiences on which to draw when they’re back on the job applying their new skills. “Learning is the most fun, satisfying, and enduring when we have our own empirical experiences – our own AHA! moment when we experience a discovery. The classroom offers a great opportunity to create those moments in a fun and focused environment. It’s great when students tell me that the experience they had in the classroom is what allowed them to finally understand a topic and solve a tough problem at work.”
Training Location
Data Engineering on Microsoft Azure (DP-203)
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Register for course: DP-203
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