This article will explore data warehouses (DWs) when associated with cloud- and on-premise data sources.
Have you watched Buzzfeed’s Tasty food videos? The videos typically begin with a default still of the finished meal, then give the viewers a step-by-step tutorial of the ingredients and measurements that go into the recipe. In comparison, a data warehouse (DW), a platform where all of your important data sits, can be seen as the final dish and the ingredients can be interpreted as the different data sources that make up the recipe, in this case, the analysis. Just as ingredients come from different locations, data sources come from different places.
Cloud– Organizations are moving to the cloud. As mentioned in previous articles, the cloud is continuously evolving and its usage is rising. On-premise users do not have to worry because, as cloud BI tools continue to get smarter, it is likely that hybrid models will appear in the marketplace. A data warehouse (DW) is able to consolidate all your data sources no matter where they are located in the cloud, web, or on-premises.
Data Warehouse – Informatica defines a DW as a “technology that aggregates structured data from one or more sources so that it can be compared and analyzed for greater business intelligence (BI).” Consolidating for organizations with several entities has never been easier as it is stored in one location. It is organized with business user accessibility at the center of design, and the information housed within DWs can be used for periodical reporting, planning, forecasting, and modeling, as well as in dashboards or graphical scorecards where trends and trajectories of organizational data can be analyzed visually.
Data sources – A data source can be a database, a spreadsheet, a dataset, or even hard-coded data within- or outside your organization. DWs bring multiple data sources together and house a wide array of data types, whether your data is on-premise or cloud-based, and improve budgets, data visualizations, and financial reporting capabilities. The DW is a singular database for aggregation of your separate data sources, clarifying and enriching your analyses.
You know you need a DW if you begin to feel like you’re wasting time due to manual documentation, in addition to analyzing and managing data with a program like Microsoft Excel, DWs can help eliminate errors, tedious manual documentation as well as wasted time and money. This will truly help your organization be on the right track this year and guide the decisions for where to begin. You can find more information about DWs in this article about preparing for your first DW implementation.
To learn more about DW for Hybrid Cloud Data Management, click here.
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