In a recent blog post, Microsoft announced the general availability (GA) of their serverless, code-free Extract-Transform-Load (ETL) capability inside of Azure Data Factory called Mapping Data Flows.

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 ...

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.

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

Practices For Configuring Azure Data Factory In Multi-Tenant Environments By Upesh Kumar Rapolu As a professional who has earned the Microsoft Azure certification, Upesh has worked extensively ...

Ignite 2019: Microsoft has revved its Azure SQL Data Warehouse, re-branding it Synapse Analytics, and integrating Apache Spark, Azure Data Lake Storage and Azure Data Factory, with a unified Web ...

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment.

The Modern Data Warehouse (MDW) pattern makes it easier than ever to deal with the increasing volume of enterprise data by enabling massive, global-scale writes operations while making the information ...

During the opening keynote address of its Build developer conference, Microsoft unveiled a data warehouse for the Azure cloud, along with 'elastic databases' and a data lake.