How to become an Azure engineer

Azure provides a wide array of services, but as a Data Engineer, focusing on mastering key ones is crucial for efficient data workflows.

🔍 Essential Azure Services for Data Engineers:

Sure, here's the information presented as a list:

1. Azure Blob Storage:

   • Foundation for storing raw data of all types, from text files to large video files.

2. Azure Data Lake Storage (ADLS):

   • Highly scalable and secure data lake functionality optimized for large-scale analytics workloads.

3. Azure Data Factory:

   • Serverless integration service for creating data-driven workflows, essential for ETL processes.

4. Azure Synapse Analytics:

   • Limitless analytics service merging enterprise data warehousing and Big Data analytics.

5. Azure HDInsight:

   • Fully managed cloud service for handling massive data volumes, ideal for transitioning from on-premises Hadoop or Spark setups.

6. Azure Functions:

   • Serverless compute service for running event-triggered code without managing infrastructure.

7. Azure Databricks:

   • Collaborative Apache Spark-based environment seamlessly integrating with other Azure services, perfect for big data analytics.

8. Azure Stream Analytics:

   • Real-time data processing platform for developing and executing analytics on multiple data streams.

9. Azure Data Migration Service:

   • Fully managed service simplifying the migration of databases to Azure data services.

10. Azure Cosmos DB:

    • Globally distributed, multi-model database service suitable for real-time operational analytics.

11. Azure Data Fabric:

    • Unified data layer for managing and securing data across various sources, ensuring consistent access and management.

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