Introduction to Data Engineering with Microsoft Azure 1
Discover essential data engineering skills and processes within Microsoft Azure services with this online course from Microsoft.
Who is the course for?
This course is designed for data professionals who want to prepare for the DP 203: Data Engineering on Microsoft Azure exam.
Learners should follow this course with Introduction to Data Engineering with Microsoft Azure 2, to ensure they have all the knowledge required to take the DP 203 exam.
It’s recommended that you already have a solid understanding of data processing languages, as well as parallel processing and data architecture patterns before taking the exam.
What will you achieve?
By the end of the course, you‘ll be able to…
Explore how the world of data has evolved and how the advent of cloud technologies is providing new opportunities for business to explore.
Explore the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data you want to store in the cloud.
Create and manage data pipelines in the cloud using Azure Data Factory.
Perform different types of analytics through Azure Synapse Analytics components.
Explore the tools and techniques that can be used to work with Modern Data Warehouses productively and securely within Azure Synapse Analytics.
Perform data engineering with Azure Synapse Apache Spark Pools to boost the performance of big-data analytic applications by in-memory cluster computing.
