Get in Touch

Course Outline

Foundations of Azure Synapse Analytics

  • System overview and strategic positioning
  • Core functional capabilities and technical scope
  • Evaluation against alternative analytics frameworks

Implementation of Azure Synapse Analytics

  • Provisioning of the Synapse workspace
  • Configuration of data lake storage components
  • Administration of user identities and access governance

Data Integration and Management

  • Methodologies for data ingestion
  • Execution of ETL workflows via Azure Data Factory
  • Strategies for data storage and structural organization

Development of Big Data Solutions

  • Introduction to Spark pools within Azure Synapse
  • Processing of large-scale datasets using Spark
  • Integration protocols with Azure Machine Learning

Data Querying via Serverless SQL Pools

  • Overview of serverless SQL pool architecture
  • Cross-source data querying mechanisms
  • Performance tuning and optimization strategies

Security and Compliance

  • Data protection protocols and encryption standards
  • Access controls and privacy regulations
  • Monitoring systems and audit trails

Data Visualization and Analysis

  • Integration with Power BI and external visualization platforms
  • Construction of analytical dashboards and reports
  • Dissemination of insights across organizational boundaries

Resource Management and Operational Best Practices

  • Architectural guidelines for public sector operations
  • Management and scaling of computational resources

Conclusion and Recommended Next Steps

Requirements

  • Fundamental understanding of cloud computing principles
  • Proficiency in data warehousing principles and practices

Target Audience

  • Data engineers
  • Data scientists
  • Cloud infrastructure professionals
 14 Hours

Number of participants


Price per participant

Testimonials (3)

Upcoming Courses

Related Categories