![]() ![]() Tableau Public is Unicode-enabled and compatible with data stored in any language.Mozilla Firefox & Firefox ESR on Windows and Mac.Tons of web data with the Web Data Connector.Text files - comma separated value (.csv) files.Statistical Files SAS (*.sas7bdat), SPSS (*.sav), and R (*.rdata, *.rda).Spatial files (Esri Shapefiles, KML, GeoJSON, and MapInfo file types).All of Tableau’s products operate in virtualized environments when they are configured with the proper underlying Windows operating system and minimum hardware requirements. CPUs must support SSE4.2 and POPCNT instruction sets so any Processor Compatibility mode must be disabled.Ĭonnect to these data sources with Tableau Desktop Public Edition.Citrix environments, Microsoft Hyper-V, Parallels, VMware, Microsoft Azure and Amazon EC2.Apple Silicon processors (using Rosetta).macOS Catalina 10.15, macOS Big Sur 11.4+, macOS Monterey 12.6+ (for Tableau 2022.3+), and macOS Ventura (for Tableau 2022.3+).View additional white papers for more information about scalability, high availability and optimizing Tableau for the Enterprise. Read our Tableau Server Scalability white paper for architecture recommendations and to see benchmark results. All content is stored locally on disk, during a migration.Ĭontact Tableau for sizing and technical guidance. You may need additional disk space if you are migrating large amounts of content. Intel Core i3 or AMD Ryzen 3 (Dual Core).To review compatible versions of Tableau Server and Content Migration Tool, please check here. The Content Migration Tool is run from a Windows computer and is able to connect to Tableau Servers with Advanced Management enabled. In these cases, you may need to upgrade your hardware. 500GB Disk Space, SSD drive or similar for performanceįor RMT Server installations that match the minimum hardware specified above, the Resource Monitoring Tool can provide performance reporting for Tableau Server deployments serving up to 10,000 views per hour.įor deployments with more view loads per hour, or very high numbers of background jobs, data delays may occur. ![]()
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