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Microsoft Azure for Data Engineering by Coursera
Course Highlights
- You will learn the various data platform technologies available, and how to take advantage of this technology to an organizations benefit.
- Choose Microsoft Azure data technologies that meet different business needs and scale to meet demands securely
- Describe common data engineering practices
- Explain the differences between on-premises and cloud data solutions
Skills you will learn!
Curriculum
21 Topics
Introduction to the program
Introduction to the course
DP-900: Microsoft Azure Data Fundamentals certification
Lesson introduction
Data abundance
The difference between on-premises and cloud-based servers
Understand job responsibilities
Use cases for the cloud
Lesson summary
Lesson introduction
Data job roles
Data engineering processes
A data engineer's tasks
Lesson summary
Course syllabus
Exam DP-203: Skills Measured
How to be successful in this course
Test prep
Knowledge check
Knowledge check
Meet and Greet
14 Topics
Module introduction
Data types
Data storage in Azure Storage
Data storage in Azure Data Lake Storage
Azure Cosmos DB
Azure SQL Database
Azure Synapse Analytics
Azure Stream Analytics
Azure HDInsight
Other Azure data services
Module summary
Test prep
Knowledge check
Knowledge check
6 Topics
Course 1 recap
Course wrap up
About the practice exam
Next steps
Course practice exam
Reflect on learning
Microsoft Azure for Data Engineering
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