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Data Orchestration, Ingestion, and Data preparation in Azure cloud – which tool should you choose?



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There is a lot of tooling around data enrichment and data orchestration in the Azure cloud and many services with similar features. Azure Data Factory, Azure Databricks, Azure Synapse Pipelines, and SSIS services can move data from one data store to another, clean the data, enrich the data by merging entities, and perform data aggregations. They can transform the data from one format into another and partition it according to the business logic.


Why would we choose one service over another? Read my new blog post to find out: https://www.mssqltips.com/sqlservertip/7380/azure-cloud-data-processing-strategy-and-tools-selection/



1 Comment


Marlin
May 28

Started moving more files to the cloud to simplify access between devices and reduce the clutter of physical storage, especially for client documents and synced backups. The setup seemed fine at first, but issues came up when syncing across platforms — certain folders didn’t appear, and shared links broke randomly. Going through icloud reviews helped clarify which problems were one-offs and which came up regularly for others. People shared experiences on storage plans, lost files, and how responsive support was when things went sideways. Helped decide how much I could trust it in a work setting.

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