The DP-900 Microsoft Azure Data Fundamentals Training does not have any prerequisites. It is designed for anyone who is interested in learning about the cloud services provided by Microsoft Azure involving data and analytics.
1. Explain data engineering and data science fundamentals.
2. Identify core components of Azure data services.
3. Describe common data services, roles, and terminology used by data engineers and data scientists.
4. Explain relational data stores including Azure SQL Database and Azure Synapse Analytics.
5. Describe data modeling concepts and Microsoft Power BI.
6. Utilize Azure Data Lake Storage to store and manage data.
7. Manage and transform data using Azure Databricks, HDInsight, and Azure Data Factory.
8. Utilize analytics service offerings within the Microsoft Azure platform.
9. Access data from non-relational data stores.
10. Utilize the Azure Cosmos DB database service for storage and data retrieval.
11. Learn best practices for data security, privacy, and compliance.
12. Explain the various options for streaming data processing.
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