What type of analysis is primarily conducted using Azure Synapse Analytics?

Azure Synapse Analytics is designed to integrate and analyze large-scale data from various sources, enabling organizations to combine big data and data warehousing solutions seamlessly. This platform allows users to run complex queries and perform analytics on massive datasets quickly and efficiently.

The unique capability of Azure Synapse lies in its ability to connect and process both structured and unstructured data, making it suitable for applications involving big data scenarios alongside traditional data warehousing tasks. By using Azure Synapse, data professionals can analyze large volumes of data stored in data lakes and blend that with curated data in a data warehouse for a comprehensive analytical view. This enables more insightful decision-making and in-depth data exploration.

Descriptive analysis focuses primarily on understanding historical data, while predictive analysis leverages machine learning to forecast future outcomes. Real-time streaming analysis specializes in processing live data as it flows into the system. While Azure Synapse Analytics may perform aspects of these analyses, its primary strength and design are centered around the integration of big data with data warehousing capabilities.