DP-900: Microsoft Azure Data Fundamentals

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Course Detail
  • Module: Describe core data concepts (15–20%)
    • Describe types of core data workloads
      • Transactional
      • Analytical
      • Streaming
    • Describe data analytics core concepts
      • Data processing, batch and stream processing
      • Data visualization and reporting
  • Module: Describe how to work with relational data on Azure (25–30%)
    • Describe relational data workloads
      • OLTP workloads
      • OLAP workloads
    • Describe relational Azure data services
      • Azure SQL Database
      • Azure Database for PostgreSQL
      • Azure Database for MySQL
    • Identify basic management tasks for relational data
      • Backup and restore
      • Performance tuning
      • Security
  • Module: Describe how to work with non-relational data on Azure (25–30%)
    • Describe non-relational data workloads
      • Key-value databases
      • Document databases
      • Graph databases
    • Describe non-relational data offerings on Azure
      • Azure Cosmos DB APIs (Core/SQL, MongoDB, Cassandra, Gremlin, Table)
    • Identify basic management tasks for non-relational data
      • Backup and restore
      • Scalability
      • Security
  • Module: Describe an analytics workload on Azure (25–30%)
    • Describe analytics workloads
      • Big data
      • Real-time analytics
      • Batch processing
    • Describe modern data warehouse components
      • Azure Synapse Analytics
      • Azure Data Lake
      • Azure Data Factory
      • Azure Databricks
      • Power BI
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