The democratization of data access has changed data management platforms. Cloud-based services, led by the likes of Google, Amazon and Microsoft, have broadened data access for many kinds of data users, creating a need to refine solutions to better suit collaboration needs. Microsoft’s refinements to its Azure Synapse platform should prove handy for professionals with on-demand analysis needs.
What Is Azure Synapse?
First some basics on what Azure Synapse is. Azure Synapse is an analytics service that brings enterprise data into analytics and machine learning. Formerly known as Azure SQL Data Warehouse, its capabilities serve as a bridge across enterprise data sources to enhance data management. As a result, Azure Synapse can ingest, explore and analyze data at a petabyte scale. It allows users to pick data from a file, database or from the cloud, handling workloads from varied relational and non-relational databases.
Azure Synapse integrates with Power BI and Azure Machine Learning. Both platforms are still available individually, but Synapse provides the option to integrate these services seamlessly through the Synapse user interface. Another integration option is aimed at Apache Spark and SQL users. Azure Synapse includes Spark and SQL engines which makes it easier for SQL and Spark users to collaborate on the same data.
Reference: https://www.cmswire.com/digital-marketing/microsoft-azure-synapse-raises-the-data-management-bar/
