Published: 29 August 2022
Microsoft Azure is seeing broad adoption in the enterprise, but is its bundled portfolio of analytics offerings right for your use case? Data and analytics technical professionals should evaluate the capabilities covered here to successfully build end-to-end analytics and AI architecture in Azure.
Azure Synapse Analytics has become the central focal point of Microsoft’s analytics platform by bundling together disparate services into an integrated, interoperable solution.
Power BI is overtaking Azure Analysis Services as Microsoft’s primary semantic modeling tool for analytics. Through its improved interoperability, it is now the recommended solution for building and deploying governed analytical data models.
Microsoft has invested significantly in security and automation features in Azure Machine Learning (Azure ML) and Power BI to enable better data loss prevention (DLP). Microsoft continues to invest in enhancements in continuous integration/continuous deployment (CI/CD) processes features via Azure DevOps and integrated security
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