There are various Data Services on Azure catering to different requirements and use cases. Some of these relate to one of the existing Microsoft data products e.g. Azure SQL Server and Azure Analysis Services, while others are new services designed for big data analytics e.g. Azure Machine Learning.
The strength of Azure data platform lies in integrating various data sources including structured, unstructured and streaming data from various sources and having optimized tools to process and analyze them, all on a single platform.
Azure Data Platform Reference Architecure Source: Microsoft
It’s still early days and the list/names will keep evolving in the future, but the main take away from this post is that Microsoft wants to ensure that users have all the tools available to ingest, transform and analyze the data within Azure data services.
We will go through the individual services in the architecture diagram in detail in future posts.
Azure Data Engineering 