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To learn more about how to achieve efficiency and maximize cloud value with Azure, join us at Securely Migrate and Optimize with Azure digital event on Wednesday, April 26, 2023.
Modernizing its data platform helped the tax-prep giant unleash innovations that have positioned the company for the future.
We’re thrilled to have the NBA partner with Azure to modernize apps and deliver memorable customer experiences time and time again.
The Microsoft Intelligent Data Platform, empowers organizations to invest more time creating value rather than integrating and managing their data estate. It integrates best-in-class solutions across Microsoft’s technology stack—breaking down data siloes and enabling organizations to extract real-time insights with the data governance needed to run the business safely.
Cloud adoption increased significantly during COVID-19 and continues for many companies. However, an enormous migration and modernization opportunity remains as organizations continue their digital transformation. This is why we are focusing on three key areas of growth at Microsoft Inspire: innovation with new cloud-native experiences, modernization of app and data estates, and migration and modernization of infrastructure and mission-critical workloads.
The global events of the last couple of years have introduced significant changes to how companies operate and the way we work, accelerating digital transformation for many as they seek the additional flexibility, scale, and cost savings of the cloud.
It’s clear that the fragmentation which exists today between databases, analytics, and governance products must be addressed. To help organizations unlock these new capabilities, we shared several exciting announcements today at Microsoft Build that demonstrate our continued innovation and investment in the data products our customers have come to know and trust.
With the advance of AI and machine learning, companies start to use complex machine learning pipelines in various applications, such as recommendation systems, fraud detection, and more. These complex systems usually require hundreds to thousands of features to support time-sensitive business applications, and the feature pipelines are maintained by different team members across various business groups.
技術者およびビジネス ユーザーを含むデータ市民は、根本原因分析、影響分析、データ品質トレースなどのデータ ガバナンスのアプリケーションにデータ系列を利用しています。データが場所やデータ プラットフォームやアプリケーションをまたいで流動的に移動する現在のデータ環境では、データの系列をマッピングすることがますます重要になっています。本日、Azure Purview での Azure SQL Database からの動的な系列抽出のプレビュー リリースを発表します。