Azure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. It is a fully managed, serverless data integration service that automates the movement and transformation of data.
With Azure Data Factory, you can create a full data pipeline with other resources on Azure. For example, you can integrate data with services such as Azure Data Lake Storage, Azure Data Factory, Azure DevOps, and Power BI.
Azure Data Factory acts as an orchestration of the data pipeline. It offers more than 90 built-in connectors, code-free data flows, SSIS migration, and integration with Azure Synapse Analytics.
Azure Data Factory works perfectly with the data lake. It allows you to leverage your data lake for powerful analytics insights to enable your data teams to scale effectively.
Azure Data Factory is easy to use. It simplifies data integration at the enterprise scale. You can learn how to use it for complex hybrid ETL, ELT, and data integration scenarios with various data sources, such as Azure Synapse Analytics, Azure SQL Database, and Spark.
Here is an example of how Azure Data Factory can be used in a real-world scenario: A Fashion Manufacturer embarked on a cloud adoption and migration program to migrate 90% of on-premises workloads to the cloud by the end of 2024. They established a large presence within Azure and sustained several tenancies to meet the needs of various sections of their business. However, to further accelerate and sustain the migration to the cloud, they needed to develop a repeatable, reliable, and resilient landing zone architecture. They established an infrastructure as code (IaC) driven approach to the establishment and management of cloud Infrastructure using a modular and reusable approach utilizing HashiCorp Terraform. SOS Group Limited was invited to support the design and implementation of an Azure Landing Zone Architecture that is based on the company’s business and security requirements in conjunction with industry standards such as Enterprise Scale Landing Zone (ESLZ), Well-Architected Framework (WAF), and the Cloud Adoption Framework (CAF).
Chris Wan
Microsoft Certified Trainer (MCT)
Application Architect, SOS Group Limited