The recommended order of courses to prepare for the DP-203: Data Engineering on Microsoft Azure certification is as follows:
* Building an Azure Data Engineer Foundation
* Data Ingestion and Preparation
* Processing in Azure Using Batch Solutions
* Processing in Azure Using Streaming Solutions
* Secure, Monitor, and Optimize Data Storage and Processing
Finally, use the practice exams to test your understanding for the exam.
In this course, *DP-203: Processing in Azure Using Batch Solutions*, you’ll learn to work with various Azure Data services to build end-to-end batch processing solutions. First, you’ll explore the different data services available in Azure that can be used for batch pipelines. Next, you’ll see how to extract data using Azure Synapse and Data Factory. Then, you’ll learn how to build pipelines by copying data, performing upserts, and handling dependencies and errors. Following this, you’ll see how to process data with Azure Databricks and Delta Lake. Finally, you’ll learn how to work with Azure Batch and manage data pipelines. When you’re finished with this course, you’ll have the skills and knowledge of Azure Data services needed to build batch processing solutions.
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About the author
Mohit Batra
Mohit is a Data Engineer, a Microsoft Certified Trainer (MCT) and a consultant. Mohit has 15+ years of extensive experience in architecting large scale Business Intelligence, Data Warehousing and Big Data solutions with companies like Microsoft and some leading investment banks.
