In this Building Scalable Data Services Architecture with Azure course, you'll learn:
Introduction to Azure Data Services
- Overview of Azure's data-related offerings, such as Azure SQL Database, Azure Cosmos DB, Azure Data Lake, Azure Synapse Analytics, and more
- Understanding the role of data architecture in modern cloud environments
Data Storage Options
- Relational vs. non-relational databases
- Implementing Azure SQL Database and Azure Cosmos DB for structured and unstructured data
Data Integration and ETL (Extract, Transform, Load)
- Using Azure Data Factory to orchestrate and automate data workflows
- Creating pipelines for data movement across various sources
Big Data and Analytics
- Leveraging Azure Synapse Analytics for large-scale data processing
- Implementing real-time analytics with Azure Stream Analytics
Data Governance and Security
- Best practices for securing data in Azure
- Role-based access control, encryption, and compliance features
- Introduction to Purview for data governance
Scalability and Performance Optimization
- Strategies for scaling databases and storage
- Performance tuning and monitoring tools, such as Azure Monitor and Query Performance Insights
AI and Machine Learning Integration
- Exploring how Azure Machine Learning can be integrated with data services for predictive analytics
- Enabling AI-driven insights from datasets stored in Azure
Cost Management and Optimization
- Understanding Azure's pricing models for data services
- Techniques for optimizing costs without sacrificing performance