Why do you prefer Azure cloud solution as recommendations for Data Engineering pipelines? Explain data pipelines scenario you managed in the project?

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Accepted Answer

I prefer Azure cloud solution for Data Engineering pipelines due to its scalability, reliability, and integration with other Microsoft services.

Azure provides a wide range of tools and services specifically designed for data engineering tasks, such as Azure Data Factory, Azure Databricks, and Azure HDInsight.
Azure offers seamless integration with other Microsoft services like Power BI, SQL Server, and Azure Machine Learning, making it easier to build end-to-end data pipelines.
Azure's scalability and pay-as-you-go pricing model allow for cost-effective scaling of data pipelines based on demand.
I managed a data pipeline project where we used Azure Data Factory to orchestrate data movement and transformation tasks, Azure Databricks for data processing, and Azure SQL Database for storage and querying.
The project involved ingesting data from various sources, performing ETL processes, and loading the transformed data into a data warehouse for analytics purposes.

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