Professional Certificate in Azure Data Engineering
-- viewing nowThe Professional Certificate in Azure Data Engineering is a course designed to equip learners with essential skills for career advancement in data engineering. This program covers the implementation of data storage solutions, data processing, and data transformation using Azure Data Services.
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Course details
• Azure Data Fundamentals: Introduction to cloud concepts, Azure data services, and data security
• Azure Data Storage Options: Understanding of Azure data storage solutions like Azure SQL Database, Azure Cosmos DB, and Azure Blob Storage
• Data Processing with Azure Data Factory: Learning data integration, movement, and processing using Azure Data Factory
• Azure Databricks for Big Data Processing: Hands-on experience with big data processing, Apache Spark, and machine learning using Azure Databricks
• Azure Synapse Analytics: Understanding of data warehousing, ETL, and data analytics with Azure Synapse Analytics
• Azure Data Lake and Azure Stream Analytics: Building data lakes and processing real-time data streams using Azure Data Lake Storage and Azure Stream Analytics
• Monitoring and Optimizing Azure Data Engineering Solutions: Monitoring performance, troubleshooting, and optimizing Azure data engineering solutions for scalability and cost efficiency
• Implementing Data Governance in Azure: Data governance principles, best practices, and tools for Azure data engineering solutions
Career path
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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