Azure Data Factory is a cloud based data integration service built for complex hybrid extract-transform-load (ETL), extract-load-transform (ELT), and data integration projects. It allows creating data driven workflows in the cloud for orchestrating and automating data movement and data transformation.
Azure Data Factory helped our customers to aggregate their multiple sources of data in Azure for advanced analytics and data visualisation. Few of our customers are running their Big Data Analytics on top of the aggregated data using Azure Data Lake Analytics and Azure HDInsight.
Enterprises have various types of data located in disparate sources such as on-premise, in the cloud, structured, unstructured, and semi-structured, all arriving at different intervals and speeds.
The first step in building an information production system is to connect to all the required sources of data for processing, such as software-as-a-service (SaaS) services, databases, file shares, and FTP web services. The next step is to move the data as needed to a centralised location for subsequent processing.
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