A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse ...

Whether you're shifting ETL workloads to the cloud or visually building data transformation pipelines, version 2 of Azure Data Factory lets you leverage conventional and open source technologies ...

It would seem, just as Azure Data Factory has become the modern-day, cloud-native successor to SQL Server Integration Services (SSIS), that Azure Purview, either directly or indirectly, will serve ...

In response to developer feedback, Microsoft is taking a page from the growing visual, low-code development approach to simplify Big Data analytics in the cloud with Azure Data Factory. The new visual ...

Enterprises can use the new offering in conjunction with other Microsoft data tools such as PowerBI (data visualization), Azure Machine Learning (advanced analytics), Azure HDInsight (managed Apache ...

4. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again. Data lakes, on the other hand, enable you to store ...

Strategic partnership for next-gen solutions built on Microsoft Azure OpenAI Service, Microsoft Fabric, and Microsoft Teams and Moody’s proprietary data to empower financial services, capital markets, ...

Microsoft introduces Azure Boost DPU to handle data-centric workloads Specifically for Azure, integrates compute, storage, and networking Custom hardware-software design boosts efficiency, lowers ...

Azure SQL Data Warehouse is a petabyte scale elastic data warehouse-as-a-service with full enterprise class SQL Server features that works seamlessly with Power BI, Machine Learning, HD Insight and ...

Other capabilities like Data Lake, elastic databases and Data Warehouse are focused on larger data sets that are typically born in the cloud. The volumes of data supported here builds on Microsoft's ...