Characteristics of Data Warehouses in the Cloudĭata warehouses have been around for years, and will continue to be core to enterprise data infrastructure-but they are undergoing massive change. In this data warehouse tutorial we’ll review the basic elements of a data warehouse, with a special emphasis on what’s new and different in cloud-based data warehouse architectures, and how they can move your data team light years forward. The data warehouse focuses on data relevant for business analysis, organizes and optimizes it to enable efficient analysis. What is a Data Warehouse?Ī data warehouse is a decision support system which stores historical data from across the organization, processes it, and makes it possible to use the data for critical business analysis, reports and dashboards.Ī data warehouse system stores data from numerous sources, typically structured, Online Transaction Processing (OLTP) data such as invoices and financial transactions, Enterprise Resource Planning (ERP) data, and Customer Relationship Management (CRM) data. To learn how to set up a data warehouse and go from data to insight in minutes, see Panoply’s getting started guide. For a detailed step-by-step guide, consult the user documentation of your data warehouse product of choice. Note: This conceptual tutorial provides overviews and best practices for major aspects of data warehouse infrastructure.
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