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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 (6)
very friendly and helpful
Aktar Hossain - Unit4
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Dużo cierpliwości
Mateusz - WestWind Energy Polska Sp. z o.o.
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The trainer adapted the materials and contents to what he thought would be best for us and he succeeded. The quality of the training was excellent.
Jorge Sanchez Hernandez - CSMART - Carnival
Course - QGIS for Geographic Information System
I genuinely enjoyed the lots of labs and practices.
Vivian Feng - Destination Canada
Course - Data Analysis with SQL, Python and Spotfire
Professional and very practical, usuefull in a daily work
Jozefin Rékasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
It covered the areas i said i was interested in before the course: data relationships, using python script. Connecting to databases will be covered in the advanced module.
