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

Delivery Options

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