Tableau 2020.3 enhances spatial analyses, data preparation and data source connectivity
Information from Tableau
Tableau 2020.3 adds new features that simplifies complex analytics, such as predictions or spatial joins. New predictive modelling functions built into the table calculation process eliminate the need for third-party extensions or complex coding in R or Python.
Users are also now able to more easily analyse spatial data with the new spatial file union, combining different geographic data within the same administrative level or comparing data from the same location over a period of time.
The latest version of the software gives customers the ability to output to and update external databases directly from Tableau Prep Builder, making the data preparation processes more governed and scalable. The clean datasets, stored on-premise or in the cloud, can be integrated with the rest of an organisation’s IT infrastructure, as well as leveraged by other applications such as machine learning or data mining applications.
Customers who also use Tableau Data Management will be able to automatically add their outputs to their Tableau Catalog, where they can track lineage and impact, add metadata, and add data quality warnings. These tables are searchable in Tableau, making it possible to deploy clean data across the whole organisation.
The introduction of Connectors to the Tableau Extension Gallery, a collection of partner-built integrations, lets customers access data sources in addition to those natively supported by Tableau. In addition to the third-party connectors in the gallery, 2020.3 also adds an improved native connector to SAP HANA that includes the ability to connect to HANA Table Functions.