When to use Azure Synapse Analytics
Across all organizations and industries, the common use cases for Azure Synapse Analytics are identified by the need for:
Large-scale data warehousing
Data warehousing includes the need to integrate all data, including big data, to reason over data for analytics and reporting purposes from a descriptive analytics perspective, independent of its location or structure.
Advanced analytics
Enables organizations to perform predictive analytics using both the native features of Azure Synapse Analytics, and integrating with other technologies such as Azure Machine Learning.
Data exploration and discovery
The serverless SQL pool functionality provided by Azure Synapse Analytics enables Data Analysts, Data Engineers and Data Scientist alike to explore the data within your data estate. This capability supports data discovery, diagnostic analytics, and exploratory data analysis.
Real time analytics
Azure Synapse Analytics can capture, store and analyze data in real-time or near-real time with features such as Azure Synapse Link, or through the integration of services such as Azure Stream Analytics and Azure Data Explorer.
Data integration
Azure Synapse Pipelines enables you to ingest, prepare, model and serve the data to be used by downstream systems. This can be used by components of Azure Synapse Analytics exclusively.
Integrated analytics
With the variety of analytics that can be performed on the data at your disposal, putting together the services in a cohesive solution can be a complex operation. Azure Synapse Analytics removes this complexity by integrating the analytics landscape into one service. That way you can spend more time working with the data to bring business benefit, than spending much of your time provisioning and maintaining multiple systems to achieve the same outcomes.