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Course Outline

Introduction to Azure Synapse Analytics

  • Overview of the Azure Synapse Analytics platform
  • Key features and functional capabilities
  • Comparative analysis with alternative data analytics solutions

Setting Up Azure Synapse Analytics

  • Creating an Azure Synapse workspace
  • Configuring data lake storage
  • Administering users and access control

Data Integration and Management

  • Exploring data ingestion methods
  • Implementing ETL processes with Azure Data Factory
  • Strategies for data storage and organization

Developing Big Data Solutions

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

Querying Data with Serverless SQL Pools

  • Understanding serverless SQL pools
  • Executing queries across multiple data sources
  • Tuning performance and optimization

Security and Compliance

  • Data protection and encryption standards
  • Access control mechanisms and data privacy
  • Monitoring and auditing procedures

Data Visualization and Analysis

  • Connecting to Power BI and other visualization tools
  • Constructing dashboards and reports
  • Sharing insights internally and externally

Managing Resources and Best Practices

  • Architectural best practices
  • Resource management and scaling strategies

Summary and Next Steps

Requirements

  • A foundational understanding of cloud computing principles
  • Familiarity with data warehousing theories and practices

Target Audience

  • Data engineers
  • Data scientists
  • Cloud professionals
 14 Hours

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