Course Outline
Introduction to Azure Synapse Analytics
- Overview of Azure Synapse Analytics
- Primary features and capabilities
- Comparison against other data analytics solutions
Setting up Azure Synapse Analytics
- Creating an Azure Synapse workspace
- Configuring data lake storage
- Managing users and access controls
Data Integration and Management
- Methods for data ingestion
- ETL workflows using Azure Data Factory
- Strategies for data storage and organization
Developing Big Data Solutions
- Introduction to Spark pools in Azure Synapse
- Processing large datasets with Spark
- Integration with Azure Machine Learning
Querying Data with Serverless SQL Pools
- Overview of serverless SQL pools
- Querying across different 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
- Constructing dashboards and reports
- Sharing insights within and outside the organization
Managing Resources and Best Practices
- Architectural best practices
- Managing and scaling resources
Summary and Next Steps
Requirements
- Fundamental grasp of cloud computing principles
- Familiarity with data warehousing standards and procedures
Target Audience
- Data engineers
- Data scientists
- Cloud specialists
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
Course - QGIS for Geographic Information System
How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
Course - Advanced Geographic Information Systems (GIS)
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.
