DP-203 Data Engineering on Microsoft Azure
- Microsoft
- 169 (Registered)
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Course Description
The demand for skilled Azure data engineers is at an all-time high. Our DP-203: Data Engineering on Microsoft Azure course provides you with the knowledge and skills required to design and implement data solutions on Azure. Whether you’re a data analyst, data scientist, or IT professional, this course will empower you with the Azure data engineering skills that employers are seeking.
Learning Outcomes
- Design and implement data storage solutions using Azure Data Lake Storage, Azure Cosmos DB, Azure SQL Database, and Azure Synapse Analytics.
- Design and develop data processing solutions using
Course Format & Language Options
Swiss Training House offers DP-203 in both online and classroom formats, giving you the flexibility to choose the learning environment that best suits your needs. Our online courses are self-paced and accessible 24/7, while our classroom sessions provide an interactive learning experience with expert instructors. We offer the course in both Arabic and English, ensuring a diverse and inclusive learning environment.
When you enrol in our DP-203 course, you’ll benefit from
- Comprehensive course content covering all aspects of Azure data engineering
- Expert instructors with extensive industry experience
- Flexible learning options (online and classroom) to accommodate your personal and professional commitments
- Course materials available in both Arabic and English
- Access to a supportive and collaborative learning community
- Opportunity to earn an industry-recognised certification that can boost your career prospects
Enrol Today!
Don’t miss the opportunity to enhance your Azure data engineering skills and accelerate your career growth. Register for our DP-203: Data Engineering on Microsoft Azure course today and unlock your potential in the world of Azure data engineering.
Course Content
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Design and Implement Data Storage
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Design and Develop Data Processing
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Design and Implement Data Security
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Monitor and Optimise Data Storage and Data Processing