Microsoft Azure Data Fundamentals (DP-900)
About This Course
Embark on a journey into the world of cloud data management with our Microsoft Azure Data Fundamentals (DP-900) course. This course is designed to equip you with the knowledge and skills required to manage data effectively on the Microsoft Azure platform. You'll explore the core concepts of Azure data services, diving deep into Azure databases, big data, and analytics solutions
In our course, you'll get hands-on experience using Microsoft Azure's advanced data services, enabling you to implement practical solutions to real-world problems. We provide a comprehensive understanding of data processing and data analytics using Microsoft Azure. Don't miss this opportunity to advance your career in the rapidly growing field of cloud data management
What You'll Learn
- Identify relevant data sources and propose methods to process data considering data specifications and requirements.
- Operate data warehouse systems and create supporting documentation while utilizing tools for data analysis and mapping.
- Utilize data systems to transform data, considering trade-offs between data access and resource utilization.
- Process multiple streams of data, applying analysis and transformation techniques for improved data quality
Course Outline:
Topic 1 Explore Core Data Concepts
• Data formats
• File storage
• Transactional data processing
• Analytical data processing
• Data roles and services
• Job roles in the world of data
• Data services
Topic 2 Explore Relational Data in Azure
• Overview of relational data
• Normalization
• Explore SQL
• Describe database objects
• Explore relational database services in Azure
• Azure SQL services and capabilities
• Azure services for open-source databases
Topic 3 Explore Non-Relational Data in Azure
• Azure blob storage
• Azure DataLake Storage Gen2
• Azure Files
• Azure Tables
• Azure Cosmos DB
Topic 4 Explore Data Analytics in Azure
• Large-scale data warehousing
• Data ingestion pipelines5 min
• Analytical data stores8 min
• Fundamentals of real-time analytics
• Batch and stream processing
• Common elements of stream processing architecture
• Azure Stream Analytics
• Apache Spark on Microsoft Azure
• Overview of Data visualization
• Power BI tools and workflow
• Overview of data modeling
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
• Minimum 18 years old