In the past organisation had to buy and maintain an ETL Platform to help run their business.
The use of Azure Data Factory allows organizations to quickly and easily get started with their data management and ETL needs. In the past, organizations had to invest in and maintain their own ETL platform, which could be a time-consuming and costly process. However, with Data Factory, organizations can create an account with just one click and start working with their data immediately. Data Factory is a cloud-based data integration service that allows organizations to create, schedule, and manage data pipelines. It simplifies the process of ETL by providing a visual interface for building and monitoring data workflows, and it also integrates with other Azure services like Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics. By using Data Factory, organizations can save time and resources by not having to maintain their own ETL platform, and can focus on their business needs. They can also benefit from the scalability and flexibility of a cloud-based solution and easily integrate with other Azure services.
The challenge of quickly delivering ETL solutions is a common one for organizations, as it requires significant time and resources to set up and maintain the necessary IT infrastructure. In this scenario, the business is focused on marketing and sales and does not want to divert resources away from these core competencies to manage IT infrastructure.
To address this challenge, the proposed solution is to set up an Azure Data Factory environment connected to Azure DevOps. Azure Data Factory is a cloud-based data integration service that allows for the creation and management of data pipelines. By using Data Factory, organizations can save time and resources by not having to maintain their own ETL platform. Additionally, by connecting Data Factory to Azure DevOps, organizations can leverage the power of DevOps to manage their pipelines in a more efficient and effective manner. Azure DevOps provides a set of services that allows development teams to plan, build, test and deploy their code in a more collaborative and efficient way. By integrating Data Factory with Azure DevOps, the organization can benefit from the features of Azure DevOps, such as:
Overall, the solution of setting up an Azure Data Factory environment connected to Azure DevOps allows organizations to quickly deliver ETL solutions without having to divert resources away from their core competencies. This solution is efficient, cost-effective and scalable, and can be easily managed and updated with the latest technologies.