Overview
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Master the job-ready skills you need to succeed as a Microsoft Azure data engineer like designing data models and utilizing other in-demand components of the cloud computing service.
Syllabus
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- Data Modeling
- In this course, you will find out how to create relational and NoSQL data models to fit the diverse needs of data consumers. Additionally, you’ll understand the differences between different data models and how to choose the appropriate data model for a given situation. Lastly, you’ll build fluency in PostgreSQL and Apache Cassandra.
- Cloud Data Warehouses with Azure
- Learn to create cloud-based data warehouses, sharpen data warehousing skills, deepen knowledge of data infrastructure, and understand data engineering on the cloud using Azure.
- Data Lakes and Lakehouse with Spark and Azure Databricks
- Learn about the big data ecosystem and how to use Spark to work with massive datasets. You will also store big data in a data lake and develop lakehouse architecture on the Azure Databricks platform.
- Data Pipelines with Azure
- Learn to build, orchestrate, automate, and monitor data pipelines in Azure using Azure Data Factory and pipelines in Azure Synapse Analytics. Run data transformations, optimize data flows, and interact with data pipelines in production.
