Microsoft Intelligent Data Platform offers services for databases, analytics, data governance, and more

The new Microsoft Intelligent Data Platform is the leading cloud data platform that fully integrates databases, analytics, and governance. This seamless data platform empowers organizations to invest more time creating value rather than integrating and managing their data estate.

Furthering its integration mission, Azure Synapse Link for SQL removes data movement barriers, provides a seamless data pipeline to Azure Synapse Analytics, and enables near-real-time analytics for SQL Server 2022 and Azure SQL Database. Once Azure Synapse Link transfers data to Azure Synapse Analytics, data can be used for advanced analytics with no performance impact on transactional workloads. Over 10 million Azure SQL databases globally can now leverage this capability.

New Innovations

Through continued investments in databases and analytics, Microsft is empowering customers to achieve agility in new ways. The SQL Server 2022 is the most Azure-enabled release yet, with continued innovation across performance, security, and availability. By connecting SQL server to Azure through seamless disaster recovery to Azure SQL Managed Instance, SQL Server 2022 provides true resilience. The latest Azure Arc innovation is here with the Business Critical tier of Azure Arc-enabled SQL Managed Instance now generally available—helping customers run the most demanding mission-critical workloads in hybrid and multi-cloud environments.

New innovations in cloud-native NoSQL and open-source databases give developers the freedom to build on their terms. Azure Cosmos DB has an enhanced 30-day trial experience now generally available and has introduced new burst capacity and elasticity features in preview. Application traffic spikes don't have to equal points in costs. New burst capacity and elasticity features ensure applications deliver high performance during peak times while still remaining cost-effective. The Azure Database for MySQL Flexible Server Memory-Optimized service tier is now the improved "Business Critical" tier for high-performance transactional or analytical applications with a 1.5x performance improvement over Single Server with faster failover time to standby.

Regarding analytics, Azure Synapse is simply unmatched with more meaningful integrations that enable existing Synapse customers to get even more value from their Microsoft 365 data. Microsoft Graph Data Connect empowers customers to securely export their Microsoft 365 data estate, and it's only available on Microsoft Azure. This enables every customer to unlock new actionable business insights with the employee and customer collaboration data that comes from Microsoft 365.

To continue creating simple frictionless experiences, Microsoft announced the preview of datamart in Power BI, a new Power BI Premium self-service capability that enables users to uncover actionable insights through their own data sets. This out-of-the-box feature empowers developers and business analysts to build a datamart that can be centrally governed and managed for workloads up to half a terabyte—accelerating time to insight while alleviating demands on IT. This new feature brings the power of data warehousing and puts it in the hands of individual Power BI developers and analysts, helping you uncover more insights and drive digital transformation at every level of a business.

The Most Trusted Platform

Data governance has become top of mind for almost every organization where data is fluidly moving across hybrid and multi-cloud environments. This makes it increasingly important to map the lineage of data. Dynamic Lineage for Azure SQL Databases in Microsoft Purview is currently in preview to further enrich the Microsoft Purview Data Map with details from actual runs of SQL stored procedures in Azure SQL Databases for customers to govern their data across hybrid and multi-cloud environments.

Machine learning and AI capabilities will be pivotal in harnessing the power of data in new ways. Azure Machine Learning now offers a Responsible AI dashboard in preview, making it possible for customers to implement it more easily by debugging machine learning models and making informed data-driven decisions. The dashboard combines capabilities such as data explorer, model interpretability, error analysis, counterfactual, and causal inference analysis in a single view. In addition, Azure Machine Learning now offers a Responsible AI scorecard in preview to summarize model performance and insights so that all stakeholders can easily participate in compliance reviews.

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