Businesses in the modern, data-driven economy significantly rely on data to make wise decisions. A data warehouse is an essential part of data architecture because it offers a centralized location for storing, managing, and analyzing massive amounts of data from many sources. Microsoft Azure provides a robust and scalable platform for developing and deploying data warehouses. With the help of real-world examples, we will walk you through the steps of creating a data warehouse using Azure services in this step-by-step manual.

1. Requirements

It’s important to have a clear understanding of your data warehouse requirements. Identify the different data sources, the volume of data, the types of data, and the reporting and analytics needs. Connect with stakeholders to create a solid foundation for your data warehouse project.

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