Arcadia Enterprise 3.2.0
(ArcViz 3.2.0, ArcEngine 2.2.7)
This document contains release information notes for Arcadia Enterprise.
It is accurate at the time of publication. Arcadia Data updates release notes periodically after the software release. To see the catalog of known issues that we are tracking, see Known Issues.
Starting with this release, we refined the installation of Arcadia Enterprise using Ambari Stacks.
See our documentation at Installing Arcadia Enterprise Using Ambari Stacks.
In this release, you can update Sentry configuration.
See our documentation at Updating Sentry Configuration.
We added upgrade support for Cloudera Manager installations of Arcadia Enterprise.
See our documentation at Upgrading Arcadia Enterprise on Cloudera Manager.
With this release, you can add a description for the dataset, as described in Dataset Detail.
Default join elimination (you can turn this feature off) accelerates rendering by ignoring unnecessary structures in complex datasets with left-outer joins.
See our documentation on Join Elimination.
With this release, we introduce a new interface for customizing the dataset attributes. We also enable you to add comments at the level of each column, and change the name of a column manually.
See our documentation on Adding Column Comments and Custom Renaming Columns.
In this release we introduce Logical Views to model complex datasets and make them accessible to 3rd party visual tools, like Tableau. Additionally, analytical views can now be defined against logical views in the same way we already use them with tables, which leads to very significant performance gains.
See our documentation on Logical Views.
Starting with this release, users with administrative privileges can define custom colors that can be used by everyone who builds visuals and customizes color palettes. There are three types of color palette: distinct colors, gradient with values, and gradient with percentages.
See our documentation at Managing Custom Colors.
Starting with this release, users have the ability to share individual visuals through email. See our documentation on Emailing Visuals.
Note that the emailing option must first be turned on by a user with administrative options, as described in Enabling and Customizing Email Settings.
The new interactive map visual type enables you to plot data over an accurate geographical map sourced from a third-party provider, such as Google Maps or Mapbox. Interactive maps support heatmap, cluster, circle marker, and marker layers.
See our documentation at Interactive Map, Interactive Map; Tile Layers, Interactive Map; Layer Options, and Layer Options.
Starting with this release, you can define a hierarchy of dimensions, and use it within visuals to quickly navigate between different levels of data granularity.
See our documentation about creating and managing dimension hierarchies at Working with Dimension Hierarchies, and about using them in visuals in Using Dimension Hierarchies.
A different implementation supports the generation of Hierarchical Cross-Tabulation Visuals.
In this release, you can specify highlights for specific values on combined bar/line visuals. See our documentation at Adding Highlights.
To change the type and size of highlight marks, see Changing the Highlight Type and Changing the Highlight Size.
The combined bar/line visuals can now be switched into bar/area mode. See our documentation at Convert Line to Area Visual.
Dataset fields that do not match the required naming convention can now be enabled for use in Geo Map visuals, provided they contain accurate data. Fields can be converted to Latitude, Longitude, County, State, Country, DMA, and Zipcode.
See the documentation in Geo Type.
For consistency and clarity in an app, you can now specify that dimensions appear in the same color across visuals that use the same palette.
See our documentation in Making Colors Consistent on Dimension Values.
With introduction of associated logical views in this release, Arcadia Data can successfully model a complex dataset in a way that enables you to build analytical views on the entire dataset, not just distinct tables.
See our documentation on Logical Views, and Creating Analytical View.
We made many improvements to the analytical views visual interfaces, both for creating and for managing.
See our documentation in Managing Analytical Views, and related files.
Starting with this release, Arcadia Enterprise introduces a feature that simplifies and partially automates acceleration of queries through analytical views.
See our documentation for Using Arcadia Smart Acceleration.
It is possible to restrict user access to the dataset at the row-level, using filter associations.
For a complete work-flow on how to implement row-level access restrictions, see our documentation at Restricting Row-Level Access.
With this release, you can configure user authentication through LDAP.
See our documentation at Configuring User Authentication Using LDAP.