Connecting On-Premise and Cloud Data Sources with ADF
Micrsoft's Azure Data Factory (ADF), which first became available as a public preview in October 2014, has launched to the general developer public.
ADF, an important component of Microsoft's Cortana Analytics Suite, is a cloud-based data integration service that handles the movement and transformation of data that plays a role in serveral of the company's cloud analytics products including Azure Data Catalog, Azure Machine Learning, HDInsight, Power BI, and Azure Stream Analytics.
“With ADF, existing data processing services can be composed into data pipelines that are highly available and managed in the cloud,” Joseph Sirosh, Microsoft’s corporate vice president of information management and machine learning.
“These data pipelines can be scheduled to ingest, prepare, transform, analyze, and publish data, and ADF will manage and orchestrate all of the complex data and processing dependencies without human intervention. Solutions can be quickly built and deployed in the cloud, connecting a growing number of on-premises and cloud data sources.”
Microsoft customers including Rockwell Automation, Alaska Airlines, and Milliman are currently using ADF as their data integration service. Rockwell, for example, uses the offering as part of their solution for predictive maintenance in industrial automation, while Alaska Airlines uses it in personalizing in-flight entertainment for their customers.