With enhancements and updates to Azure Data Factory, SQL Data Warehouse, Data Lake Storage Gen2, and Data Explorer, Microsoft is aiming to help users visualize and more easily gain insights into data.

The goal of Gen2 - beyond ensuring the expected performance improvements - was to make Azure Data Lake Storage (ADLS) more compatible with the Apache ecosystem. Now, because ADLS is built on top of ...

The first generation of Azure SQL Data Warehouse (SQL DW) was announced in 2015, and SQL DW "Gen 2" reached general availability in 2018. Today, at its Ignite confab on Orlando, Microsoft is ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...

Microsoft Fabric is an end-to-end suite of cloud-based tools for data analytics, encompassing data movement, data storage, data engineering, data integration, data science, real-time analytics, and ...

Microsoft execs have been extolling the benefits of integrating databases and analytics for the past several years, starting in earnest with Azure Synapse Analytics. Today during Day 1 of its virtual ...