Today we are unveiling Microsoft Fabric—an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations need.
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We are excited to share that Gartner has positioned Microsoft as a Leader once again in the 2022 Gartner Magic Quadrant for Data Integration Tools. We believe this recognition shows our continued growth and ongoing commitment to delivering comprehensive and cost-effective data integration solutions.
When you create an Azure Integration Runtime (IR) within Azure Data Factory Managed Virtual Network (VNet), the integration runtime will be provisioned with the managed VNet and will leverage private endpoints to securely connect to supported data stores.
In today’s data-driven world, big data processing is a critical task for every organization. To unlock transformational insights and embrace a data-driven culture, companies need tools to help them easily integrate and transform data at scale, without requiring specialized skills.
Digital disruption has created unlimited potential for companies to embrace data as a competitive advantage for their business. As a result, analytics continues to be a key priority for enterprises. When it comes to analytics, customers tell us that they need a solution that provides them with the best price, performance, security, and privacy, as well as a system that can easily deliver powerful insights across the organization. Azure has them covered.
Azure Data Factory (ADF) is the fully-managed data integration service for analytics workloads in Azure.
Clean up files by built-in delete activity in Azure Data Factory
Learn the latest integration in Azure Data Factory with Azure Data Lake Storage Gen2 and Azure Data Explorer which enables you to meet the advanced needs of your analytics workloads by leveraging these services.
Data Integration is complex with many moving parts. It helps organizations to combine data and complex business processes in hybrid data environments. Failures are very common in data integration workflows.
Cloud data integration helps organizations integrate data of various forms and unify complex processes in a hybrid data environment. A number of times different organizations have similar data integration needs and require repeat business processes.