In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.
Knowledge of Azure accounts and services Knowledge of various data sources such as SQL Server and Azure Cosmos DB Knowledge of the concepts around data governance
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 includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
Reach out to us for more details, availability, or any specific queries you might have. We're here to help you make the right choice!
Enquire about courseSubscribe to our newsletter and never miss out on industry trends, exclusive content, and special offers. Join our community today!
© 2024 NetcampusGroup©. All Rights Reserved. Website by Click Media
