Course Includes:
- Price: FREE
- Enrolled: 1947 students
- Language: English
- Certificate: Yes
Course Folder
What You’ll Learn
- Design and Implement Data Storage (40-45%) Design a Data Storage Structure: Learn about designing Azure data storage solutions
- including Azure Data Lake
- Azur
- Design and Develop Data Processing (25-30%) Ingest and Transform Data: Use Azure Data Factory and Azure Synapse Pipelines to create data ingestion and transfor
- Design and Implement Data Security (10-15%) Design and Implement Data Security: Implement security measures such as encryption (both at rest and in transit)
- m
- Monitor and Optimize Data Storage and Data Processing (10-15%) Monitor Data Storage and Processing: Use Azure Monitor
- Log Analytics
- and other tools to monito
Requirements
- Azure Data Services: Experience with Azure services such as Azure SQL Database
- Azure Data Lake Storage
- Azure Synapse Analytics
- and Azure Databricks.
- Data Pipelines: Understanding how to design and implement data pipelines using Azure Data Factory.
- SQL Proficiency: Solid knowledge of SQL for querying and managing data.
Description
Dive deep into the world of data engineering with our DP-203: Data Engineering on Microsoft Azure course. This comprehensive program is designed to equip you with the skills and knowledge needed to build and manage sophisticated data solutions using Microsoft Azure.
In this course, you'll explore essential topics including data storage, data processing, data security, and data integration, focusing on practical applications and real-world scenarios. You'll gain hands-on experience with Azure data services, such as Azure Data Lake Storage, Azure SQL Database, Azure Synapse Analytics, and Azure Databricks, enabling you to design and implement robust data solutions that meet organizational needs.
Key Learning Objectives:
Design and Implement Data Storage: Learn to design scalable data storage solutions, manage data distribution, and optimize storage for performance and cost-efficiency using Azure services.
Develop Data Processing Solutions: Master the techniques for designing and developing data processing workflows with Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
Implement Data Security: Understand and apply data security measures, including encryption, data masking, and compliance with data protection regulations.
Monitor and Optimize Data Solutions: Gain skills in monitoring and optimizing data storage and processing to ensure high performance and reliability.
Who Should Enroll:
This course is ideal for data engineers, data architects, data analysts, IT professionals, and consultants who are responsible for designing and implementing data solutions on Azure. Whether you're looking to advance your career, enhance your skills, or prepare for the DP-203 certification exam, this course will provide you with the expertise needed to excel in the field of data engineering.
Join us to build a solid foundation in Azure data engineering and advance your career with cutting-edge data solutions.
Who this course is for:
- Data Engineers
- Data Analysts
- IT Professionals
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