SAS Viya on Microsoft Azure Integrations
SAS Viya on Microsoft Azure Architecture
SAS Viya integrates with Azure services at every level of the analytics stack – from data ingestion and preparation to building and deploying AI pipelines – all with oversight from Azure security and management tools.
Featured SAS Viya on Azure Integrations
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Microsoft Fabric, OneLake & Azure Data Sources
Manage your data end-to-end with the unified analytics platform, Microsoft Fabric. Import your data, take advantage of high-performance connectors or use our SAS Decision Builder Fabric Workload to translate your insights into action.
- Use open source formats, including ORC and Parquet, which you can import into Microsoft Fabric for data warehousing, data integration, business intelligence and reporting, and data governance use cases.
- Translate insights into action by constructing business rules and decisioning flows across various domains and scenarios with SAS Decision Builder, a decision intelligence workload built natively into Microsoft Fabric.
- Take advantage of high-performance connectors with SAS Viya to source data from the Azure environment, including Azure Data Lake Storage Gen2, Azure Database for MariaDB/MySQL, PostgreSQL, Azure HDInsight, Azure Synapse, Azure SQL Database Managed Instance, Azure SQL Database and Azure SQL Server Big Data Clusters.
- Use open source formats, including ORC and Parquet, which you can import into Microsoft Fabric for data warehousing, data integration, business intelligence and reporting, and data governance use cases.
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Azure Machine Learning & MLOps
Quickly and easily build and deploy analytic models to more places while maintaining strong governance and performance. With SAS Viya and Azure Machine Learning/Synapse Machine Learning, you can:
- Build analytic models faster. Use your programming language of choice – including Python, R and open source – and manage your big data workloads with Spark. Build within a visual drag-and-drop interface or write code.
- Move models to production seamlessly. Quickly and easily build models and register them with SAS Model Manager. Deploy models to any Microsoft Azure endpoint.
- Make the best decision every time. Track performance across the model life cycle and infuse decision intelligence to impact business strategy. Easily determine when the model needs to be retrained.
- Process unstructured data and supplement retrieval-augmented generation (RAG AI systems). Leverage Azure AI Studio generative AI capabilities alongside SAS Visual Text Analytics in Azure ML.
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Power Automate & Power Apps
Everyone can make better, faster decisions by unlocking time and cost savings through automated decisioning. With SAS Viya and Microsoft Power Automate and Power Apps, you can:
- Make real-time, calculated decisions. Enable hyperautomation to take advantage of opportunities where time is of the essence.
- Democratize enterprise decision management. Provide easy build and management experiences for people of all skill sets.
- Elevate the customer and employee experience. Make infinite process improvements across the enterprise in areas such as:
- Claims processing.
- Credit decisioning.
- Fraud detection.
- Risk management.
- Contextual marketing.
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Azure IoT Hub/IoT Edge & Synapse RT Analytics
More easily stream from IoT devices across environments with Azure IoT Hub/Azure IoT Edge, and process large amounts of data with Azure Synapse Analytics, enabling real-time decisioning and analysis at the edge and in the cloud. With both of these solutions, you can:
- Make intelligent decisions in real time. Apply in-stream automation, data curation, and modeling.
- Scale up and out without affecting performance. Capture insights anywhere at any scale by using Azure edge and cloud computing infrastructure.
- Apply total governance. Benefit from unified administration and management across your SAS and Microsoft environments.
- Push more processing into the database. In-database scoring for Synapse Spark saves time and money by limiting data movement in Azure.
- Analyze more data. Enrich data across multiple sources with SAS Viya and Azure Synapse Analytics while gaining automated insights from Azure Synapse tables with SAS Information Catalog and SAS Visual Analytics.
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Azure Data Access
Process, score and summarize your data from any number of sources to reduce storage costs and leverage existing storage compute, all in a secure environment.
- Support for bi-directional read/write capabilities with any Azure data source.
- SAS supports Spark, Hadoop and SQL Server in-database processing to push down SQL from SAS and leverage existing cloud infrastructure. Subsetting and aggregation can be done natively within these databases, reducing the amount of data needed for analysis.
- Make remote data calls using SAS Container Runtime or Cloud Data Exchange.
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Azure Security Services
Protect, govern and manage access to sensitive SAS Viya workloads with Azure security services, such as:
- Azure Active Directory for seamless authentication and single sign-on.
- Azure Key Vault for certificate management.
- Azure Monitor for monitoring and logging.
- Azure Policy for total governance and dynamic rules enforcement.
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GitHub (SAS code collections)
SAS Studio includes integration with Git, a system for tracking changes and managing version control among multiple users. These features include cloning repositories, committing and stashing file changes, pulling and pushing files, viewing your repository history, creating and merging branches, rebasing a branch, and performing a basic differentiation between files in your local repository.
