Oracle® Fusion Middleware

What's New for Oracle Data Visualization Desktop

Release 12c (12.2.2)


February 2017

What’s New for Oracle Data Visualization Desktop

Here’s an overview of new features and enhancements added recently to improve your Oracle Data Visualization Desktop experience.

Release — February 2017

Feature Description
Data flow join functionality When you add a join step to a data flow, you can now specify an operator such as greater than or less than for the join condition.

When you add two or more conditions to a join step, you can now add a global AND or OR to the set of conditions.

Release — December 2016

Feature Description
Oracle Smart View for Office Plug-In Oracle Data Visualization Desktop contains a Smart View plug-in that helps you un-pivot data in an Excel spreadsheet and publish the modified data to Data Visualization Desktop for use as a data source. You can also publish CSV files from Excel to Data Visualization Desktop. See Adding a Spreadsheet as a Data Source from Excel Using the Smart View Plug-In.
Limited support for Essbase database The Oracle Essbase database has limited support and is marked as Beta in the user interface.

Release — October 2016

Creating and Managing Data Sources

Feature Description
Redesigned Data Sources page The data sources page was redesigned to be more user friendly. The Display pane contains categories that you can click to see data sources by type, the connections that you built, and the data flows that you built. The Create pane contains links that you can click to quickly begin creating data sources, connections, and data flows.
Authentication option for Oracle Applications connections You can specify if you want users to enter their own credentials to access the Oracle applications data that they have the permissions to see. See Creating Oracle Application Connections.
Create Source page The Create New Data Source page is easier to use and includes functionality such as the option to add filters when building database data sources. See Composing Data Sources From Oracle Application Connections and Composing Data Sources from Databases.
Full support for databases Greenplum is now a fully supported database.
Limited support for databases The following databases have limited support and are marked as Beta in the user interface: Actian Ingres, Actian Matrix, Actian Vector, Amazon Aurora, Amazon EMR, Apache Drill, Cassandra, Dropbox, Google Analytics, Google Cloud, Google Drive, Hortonworks Hive, HP Vertica, IBM BigInsights, Informix, MapR Hive, Microsoft Access, MonetDB, Netezza, Pivotal HD, Postgre SQL, Presto, Sybase ASE, and Teradata Aster.
Smart insights The smart insights feature helps you better understand the data in your data source and how to best visualize it in a project. See Exploring a Data Source with Smart Insights.
Data flow functionality added You can use data flows to produce curated data sources that you can use to create visualizations. See About Data Flows.
.CSV as a data source You can now use .CSV files as data sources.

Creating Projects

Feature Description
Visualization types The following visualization types were added: chord, circular network, list, network, parallel coordinates, sankey, timeline, and tree.
Improved visualization coloring You can use hierarchical and non-repeating sequential coloring in visualizations. See Setting Visualization Colors.
Visualization filters You can add filters to individual visualizations in a project. See Creating Filters on a Visualization.
Filter dependencies You can use the Limit Values option to specify how the filters in the filter bar restrict each other. See How Visualizations and Filters Interact.
Filter controls You can add a filter control to the canvas and use it to control what displays in related visualizations on the same canvas. See Creating Filters on a Canvas.
Multiple canvases A project can have multiple canvases.
Multiple insights A project can have multiple insights.

Outputting and Sharing Projects

Feature Description
Print canvas You can print a project’s canvas or canvases. See Printing a Visualization, Canvas, or Story.
Email an exported project You can email an exported project. See Emailing an Exported Application.
Email a project object You can email a PDF or PowerPoint output of a project’s visualization, canvas, or story.
Output visualizations to PDF and PowerPoint You can output your project’s visualizations to PDF and PowerPoint. See Converting a Visualization, Canvas, or Story.

Other Enhancements

Feature Description
Faster installation Improvements were made so that Oracle Data Visualization Desktop installs faster.
Faster application start time Oracle Data Visualization Desktop starts faster.
BI Ask search functionality You can use BI Ask in the Search field to build visualizations on the fly. See Visualizing Data with BI Ask.
SDK to create data visualization plugins An SDK was added to allow developers to create custom visualization plug-ins. See Using the Data Visualizer SDK to Create Plug-ins.

Oracle® Fusion Middleware What's New for Oracle Data Visualization Desktop, Release 12c (12.2.2)


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