The topic of the diploma thesis is the Migration of a data warehouse to a cloud storage, and it involves the migration of an existing data warehouse to Microsoft Azure cloud. A data warehouse is a system that periodically downloads and consolidates data from source systems into a dimensional or normalized data warehouse. ETL is a system that can connect to source systems, read data, transform data, and load it into the target system. Business intelligence is a concept that aims to improve business. All that belongs to a single data warehouse are the processes, technologies, and tools needed to obtain information from data, knowledge from information, and plans from knowledge that will enable profitable business moves. Business intelligence includes data warehousing, analytical business tools, and content / knowledge management. The data in the data warehouse is stored in a dimensional model that is not normalized. There are two such types of models: star and snowflake. In the star model, the dimensions simulate the arms of the star, while the fact table is in the center of the star. The dimensional and fact tables are always in a 1: N relationship. The fact table corresponds to the process that is monitored in the data warehouse and contains two groups of numeric attributes, dimension table keys and measures. Measures are numerical attributes that give an “estimate” of the process followed by the fact table. Granularity refers to the level of detail or the level of aggregation of data (facts, records) in the data warehouse. The granularity is lower the more detailed the data presented, and higher the less detailed the data presented. The dimension table corresponds to the entity / object which is participating in the process that is monitored in the data warehouse and the warehouse contains N such tables. The role of the dimension table is to explain the facts stored in the fact table. Cloud computing is a service that enables the provision of computing resources, hardware and software, over a network infrastructure to end users. Azure SQL Database is a database-level service that provides predictable performance, downtime scalability, business continuity, and data protection. The diploma thesis used SQL Server Management Studio 17 for data warehouse creation and data manipulation, Visual Studio 2019 for SSIS package development and Data Migration Assistant application for assistance in estimating and creating migration. The course of creating and using data warehouses and performing migration to the cloud are presented and described in this thesis.