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CTOnews.com December 22, Microsoft Azure announced that Azure Synapse Analytics has been officially opened for use in the North third District of Azure in China.

Azure Synapse Analytics is an enterprise-class big data analysis service that helps users quickly get value from big data. Azure Synapse integrates the industry-leading SQL query engine, Microsoft's own log and timing analysis service Azure Data Explorer, data integration engine, and Apache Spark, and provides a unified workspace interface for cloud resource provisioning and management.

Azure Synapse services, together with Power BI, Azure Databricks, Azure Machine Learning and other services, form a Microsoft intelligent data platform to fully meet the needs of users in big data, BI and AI, helping enterprises to reduce repeated investment, connect data teams, solve problems with data drivers, and reduce costs and increase efficiency.

CTOnews.com learned that the main features of Azure Synapse Analytics include:

Unified platform: unified implementation of data integration, exploration, data warehouse, big data analysis and machine learning tasks through a single environment.

Enterprise-class data warehouse: based on a proven SQL engine, mission-critical design, industry-leading performance.

Data integration visualization: using visualization tools to build ETL / ELT processes, more than 95 native connectors, easy to import data.

Log and telemetry analysis: gain insights from timing, logging and telemetry data using industry-leading indexing technology through the Azure Synapse Data Explorer (data Resource Manager) distributed query engine.

Integration of AI and BI: improve the end-to-end analysis solution through the in-depth integration of Azure machine learning, Azure cognitive services and Power BI.

Integrate Apache Spark and SQL engines: enhance collaboration among data professionals. It is easy to use T-SQL for query on data warehouse and Spark engine.

Support for cloud native HTAP: mixed transaction and analysis processing to quickly gain insights from real-time transaction data in databases such as Azure Cosmos DB.

Multilingual support: supported development languages include T-SQL, KQL, Python, Scala, Spark SQL and .net.

Query of the data lake: combining relational and non-relational data, query the files in the lake with the service of the warehouse scheme.

Pricing options for micro-services and proprietary resources: both data lake and data warehouse are supported to optimize performance-to-price ratio.

Azure Synapse Analytics has been widely used in many industries at home and abroad. Some typical application scenarios include:

Retail: personalized recommendation, omni-channel optimization, building a flexible supply chain

Manufacturing: maximize overall equipment efficiency (OEE), reduce unplanned downtime, and enhance supply chain visibility

Health care: personalized intelligent nursing, clinical analysis, compliance analysis

Financial services: provide personalized experience, fraud detection, risk management

From now on, all Chinese Azure users can log in to the Azure portal through the Synapse portal, create a Synapse Workspace workspace and launch related resources in the North third District.

It is expected that from next month, users will also be able to log in directly to the Azure portal to create a Synapse Workspace in the North third District.

Synapse Portal: https://aka.ms/synapseportalcn

Azure Portal: https://portal.azure.cn

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