Tableau server could now be used over the Linux operating system.This enabled us to have a systematic structure for having projects. Using the functionality, projects could be nested based on permission levels set as per the requirement. It facilitated developers and users to create nested projects.Power trendlines a very crucial data analysis tool when working with any type of data is an important feature of this version.An in-memory data engine technology, it made operations pertaining to complex data sets faster. A feature by the name of Hyper is Tableau’s attraction in this version.The functionality overcame earlier static character of saved clusters which now changed as the data refreshed. Clustering was made advanced by the addition of a clustering functionality.This opened a new avenue for deeper analysis, as custom SQL could now be leverage to derive deeper insights from spatial data. A very powerful concept brought was establishing the connection from SQL server to spatial data.The tool offers high-value insights and visualizing depicts a trend. Step and Jump Lines a very important concept in the analysis was introduced.When working with a log axis in advanced calculations, negative values could now be shown on a log scaled axis.The feature could be now used with calendar-based calculations and visualizations and thus made the analysis more standard. A very important feature is ISO-8601 standard weeks.This turned out to be useful for business users, who could now build the dashboards using automatic table layouts in just a few seconds. Mobile-friendly dashboards could now be built easily.Nested sorting as an advanced option in sorting is a powerful analysis feature offered here.This proved useful in the context of spatial data. Joining datasets based on location element, when it happens to be the only common amongst them, now became possible.This was facilitated by SSL/TLS secured connection for integration or RServe with Tableau. Connectivity with R now became more secure.Further, navigation between the sheets became much easier. So, visualizations could be changed in real-time just by selecting or clicking over a portion of the map. Heatmap is a special type of visualizing data that combines the features of scatterplot along with color combinations based on variable values. A very powerful tool incorporated in this version was heatmap.Exporting the insights to PowerPoint is facilitated to build highly interactive and insightful presentations.The mixed content type is the feature that allows viewing data sources and workbooks on the same page.Using Ask Data, insights can be produced from data by asking questions. This version offered a natural language-based functionality which is “Ask Data”.The feature offers sharp and smoother map-based visualizations. A vector map is another exciting feature.These parameters can be made dynamic that governs calculations and filters thus driving the visualization accordingly. Amongst the new features, the most notable pertains to parameters.It offers analytics based on statistically significance, leveraging powerful concepts like AI in order to get deeper insights and arrive at the right results. It incorporates performance monitoring and content management features also. This feature essentially allows execution at a greater scale facilitating increased manageability. This version has a Tableau Server Management Add-on.This is important as analytics created offers insights into what section of the data is important to a particular user. The catalog allows you to have a complete view of how the data is connected with the analytics. One of its special features is the Tableau Catalog.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |