Azure Data Factory is a cloud-based service for data integration, where you can coordinate and operationalize processes for processing large amounts of raw data into relevant business insights, allowing you to create, manage, and schedule data pipelines.
With Azure Data Factory, you can move and transform data from a variety of sources, like cloud-based or on-premises, to different destinations, such as data lakes and databases.
Included in the service is a visual interface for monitoring data pipelines and the usage of Azure Machine Learning for data transformation. Furthermore, Azure Data Factory supports hybrid data integration, allowing users to work with cloud-based and on-premises data sources within a single data pipeline.
In practice, Azure Data Factory is commonly used when organizations need to extract data from their production systems for use in a data warehouse or other purposes, without disrupting the operation of the production systems. An example could be a retail company with multiple branches across the nation that utilizes Azure Data Factory to centralize its sales data for analysis and reporting purposes. The company collects sales data from each of its Point-of-Sale systems daily and uses Azure Data Factory to extract this data. The extracted data is then transformed to align with the structure of the centralized data warehouse, where it is loaded and stored for further analysis.
Read more about the possibilities of Azure Data Factory
Using Azure Data Factory can provide a variety of benefits for a business:
Scalability: The ability to create data pipelines and to handle large amounts of data, that automatically scale up or down based on the volume of data, which can give your business a lot of scalability and flexibility.
Data integration: Data Factory enables your businesses to integrate data from a variety of sources, including on-premises and cloud-based data stores, which can improve the accuracy and completeness of business insights.
Automation: Using Data Factory allows your business to create scheduled and triggered data pipelines, which can free up workloads and resources, by automating data integration and transformation tasks.
Data governance: The built-in data governance features like data lineage, data catalog, and security, can help your business by ensuring data quality while maintaining compliance with data regulations.
Machine learning integration: The ability to integrate Azure Machine Learning for data transformation tasks makes it easy for your businesses to quickly apply machine learning models to their data for advanced predictions and analytics.
All in all, Azure Data Factory can allow your business to integrate, transform, and manage its data more effectively, leading to better data-driven decisions and better use of resources, which can lead to cost savings.
Cegal og Azure Data Factory
Cegal has broad expertise within Microsoft Azure and also the Azure Data Factory platform. We work with Microsoft Technology so that we can deliver the best solutions to our customers. As experts in databases, data and cloud, Cegal also specializes in the Microsoft Azure Data Factory platform. Our aim is to make digital succes stories with customers e.g. by getting value out of their data and get data to flow smoothly, e.g. from on-premises to the cloud, or in a multi-cloud environment.