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Course Outline
Introduction to Azure Synapse Analytics
- Overview of Azure Synapse Analytics
- Key features and capabilities
- Comparison with other data analytics solutions
Setting up Azure Synapse Analytics
- Creating an Azure Synapse workspace
- Configuring data lake storage
- Managing users and access control
Data Integration and Management
- Data ingestion methods
- ETL processes with Azure Data Factory
- Data storage and organization strategies
Developing Big Data Solutions
- Introduction to Spark pools in Azure Synapse
- Processing large datasets with Spark
- Integrating with Azure Machine Learning
Querying Data with Serverless SQL Pools
- Overview of serverless SQL pools
- Querying across data sources
- Performance tuning and optimization
Security and Compliance
- Data protection and encryption
- Access control and data privacy
- Monitoring and auditing
Data Visualization and Analysis
- Connecting to Power BI and other visualization tools
- Building dashboards and reports
- Sharing insights within and outside an organization
Managing Resources and Best Practices
- Architectural best practices
- Managing and scaling resources
Summary and Next Steps
Requirements
- Basic understanding of cloud computing principles
- Knowledge of data warehousing principles and practices
Audience
- Data engineers
- Data scientists
- Cloud professionals
14 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
