Modern data warehousing is the practice of storing, organizing, and analyzing large volumes of data generated by modern data sources such as cloud-based applications, social media platforms, mobile devices, and the Internet of Things (IoT). This approach to data management has gained increasing importance in recent years as organizations seek to gain insights from their data to drive business value and improve decision-making. Modern data warehousing solutions offer a range of advanced features, including scalability, cloud-based architecture, real-time data processing, data integration, and data visualization. These features enable organizations to store and analyze large volumes of structured, semi-structured, and unstructured data from a wide range of sources, providing a single source of truth for decision-making. Overall, modern data warehousing has become an essential component of data-driven decision-making for organizations across a wide range of industries. By leveraging modern data warehousing solutions, organizations can gain valuable insights from their data, improve their competitive position, and drive business success. In this paper, we review modern data warehousing's key concept, technology, and the difference between traditional data warehousing and modern data warehousing.