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We're here to help you find itThe DP-203T00: Data Engineering on Microsoft Azure course is designed to impart the knowledge and skills necessary to design and implement data engineering solutions on Azure. It covers a comprehensive range of Azure services including Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Stream Analytics, and Azure Databricks among others.
Learners will gain practical experience through labs that reinforce the lessons, such as querying data with serverless SQL pools, performing data engineering with Azure Synapse Apache Spark Pools, and implementing real-time analytics with Azure Stream Analytics. The course also dives into security and compliance with modules on end-to-end security, and it explores integration with Power BI for reporting and Azure Synapse Analytics for machine learning processes.
By the end of this course, participants will have a strong foundation in data engineering practices, enabling them to build scalable and secure data solutions in the cloud. This course is beneficial for professionals looking to leverage Azure for data processing, analytics, and to gain insights that can drive business value.
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♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
To ensure you have a successful learning experience in the DP-203T00: Data Engineering on Microsoft Azure course, the following prerequisites are recommended:
These prerequisites are aimed at equipping you with the foundational knowledge needed to grasp the course content effectively. If you are new to some of these concepts, Koenig Solutions offers a range of introductory courses to help you get up to speed before tackling the DP-203T00 course.
The DP-203T00 course equips professionals with advanced skills in Azure data engineering, focusing on data storage, processing, and analytics.
Job roles and audience for the course include:
This course equips learners with the skills to design and implement data solutions on Microsoft Azure, using various data services and real-time analytics.
