What’s new in Spotfire

Latest advancements to help you uncover insights for faster decision-making

06 / 2018
7.13

More responsive big data visualizations

Big data visualizations using live queries, especially towards large OLAP data sources like SAP BW and Oracle Essbase, are now much quicker to respond to and also mark changes you make.

Automatically adjusted zoom sliders

Visualizations with zoom-sliders that now auto-zoom when the data changes (e.g, when filtering) and when sliders are at the end of their range.

Color picker is now available in Spotfire Analyst

Spotfire Analyst now has a color picker that makes it easy to create analyses that follow your corporate color scheme, the color scheme of a website or the like. Just pick the color you want from anywhere on your screen and use it in the custom theme editor.

Responsive page layout for mobile devices

The Spotfire page layout is now responsive, so when a page is viewed on a small device like a phone, the layout organizes to suit the screen. The responsive layout enables vertical scrolling if the page is too large to view on the screen directly.

Column selectors look nicer

The column selectors in Spotfire now have an improved look and feel and are only displayed in the visualization over which the mouse pointer is positioned.

Join data in the Spotfire Business Author web client

You can now add columns to a data table using Spotfire Business Author web client.

Edit joins from the Source View

You can edit previously specified Add columns (Join) operations. This makes it really easy to adapt your analysis files to changes in your data sources over time.

Edit on-demand settings on data source level

You can now quickly edit on-demand settings for each individual data source in a data table.

TIBCO Cloud Spotfire now supports Apache Spark SQL

You can store analysis files in the TIBCO Cloud Spotfire library and query Databricks Cloud and Apache Spark SQL directly from the web-based clients Spotfire Business Author and Consumer.

TIBCO Cloud Spotfire now supports Microsoft HDInsight Hive

TIBCO Cloud Spotfire now connects to Microsoft HDInsight Hive. You can store analysis files in the Spotfire Cloud Library and let them query Microsoft HDInsight directly from the web-based clients Spotfire Business Author and Consumer.

Support for Amazon EMR

TIBCO Cloud Spotfire and the Spotfire on-premise platform now support Amazon EMR via Hive and Apache Spark SQL.

Timeout setting for Cloudera Impala connector

A timeout setting has now been added to the Cloudera Impala connector. This allows you to let Impala queries run for longer. For example, this allows running queries to complete when you are extracting result data sets into the in-memory data engine of Spotfire.

REST API to run Automation Services jobs

Execution of Automation Services jobs can now be triggered from an external application using a REST API. A job can either be stored in the Spotfire library or passed as an argument. The API uses an OAuth2 based authentication/authorization mechanism.

OAuth2 support for the Web Service (SOAP) API

The Web Service (SOAP) APIs (LibraryService, UserDirectoryService, UpdateAnalysisService, InformationModelService, LicenseService and SecurityService) now uses a OAuth2 based authentication/authorization mechanism. This means that the API client only needs to support a single authentication method that will work with any Spotfire Server authentication configuration.

Simplified workflow when building Spotfire .Net extensions

Spotfire now has an updated and simplified procedure for building .NET extensions for Spotfire. The package building functionality is now integrated with Visual Studio® along with templates.

Single distribution file

It is now possible to ship a bundled solution, containing several Spotfire packages, as a single distribution file (.sdn).

Work with multiple versions of Spotfire Analyst

The Spotfire deployment mechanism now supports both upgrading and downgrading of the installed Spotfire client when you connect to a server (and a specific deployment area), making it easier to work with multiple Spotfire versions simultaneously.

03 / 2018
7.12

Export prepared reports to PDF

It's easy to export one or more prepared reports to PDF in an open DXP file from the Export menu, as well as from the job builder in TIBCO Spotfire Automation Services.

Export themed Spotfire analysis to PowerPoint and Image

Now your visual theme is included when exporting, with a higher resolution making the visualizations and text clearer.

Maximize visualization temporarily

You can now temporarily maximize a visualization to take a closer look without distorting the original layout as well as rotate the view between all visualizations on the page.

Improved scrolling on mobile devices

Two-finger scroll is now possible on mobile devices, very useful when viewing a page larger than the screen and when looking at a visualization with its own scroll capability, like a table or a map. Two fingers scroll the page, one scrolls the visualization.

Fixed height or width of text areas and visualizations

Now you can fix the width or height of a text area or visualization, useful for avoiding scroll bars on small screens. The icon in the toolbar locks the settings, and the small icon menu provides more options.

Increased number of labels on scatter plots and maps

We have increased the limit for number of labels in a scatter plot or a map chart to up to 3,000, especially useful for centered data labels where markers don't overlap significantly.

Remove individual data sources

In the source view, you can remove individual data sources using the new trash can button. Spotfire provides a preview of the result as you mouse-over the trash can. The undo feature, of course, allows you to reinstate the node.

Data source information now lists added and ignored columns

Joining data tables with Insert Columns now stores which columns you chose to ignore and which to add, listing them in the data table properties dialog of the source view. This is very useful when many data transformation and Insert Columns operations are in your analysis.

The Teradata connector now supports macros

With Spotfire's connector for Teradata, you can now browse and connect to data represented by Teradata macros. A macro allows you to name a set of one or more SQL statements, providing a shortcut for executing groups of frequently run SQL statements in Teradata.

The Apache Spark SQL connector now supports temporary views

As a Spark developer you might publish results of Spark jobs in temporary views. With this release of Spotfire, you can connect directly to those views using the self-service live query connector and instantly visualize the result.

Export to PDF with the Spotfire .Net API and JavaScript API

Now you can export a prepared PDF with the Spotfire .Net API, including custom workflows with C# extensions or IronPython scripts.

API to render pages and visualizations to PNG images

The Spotfire .Net API page renderings and visualizations now result in PNG images that use the visual theme, and the API includes settings to adjust resolution and visibility of attributes like annotations, axis labels, legend, and title. This API is useful when creating export tools to support customized layouts or output formats.

WMS layer authentication including Spotfire .Net API support

The Spotfire .Net API now supports configuring a WMS layer with username and password.

API to remove data operation

The Data Table Source View API (introduced with the 7.10 release) now lets you remove individual data sources or other operations, such as add columns operations or add rows operations.

11 / 2017
7.11

Search and zoom in Map Charts

Search for a location on the map and quickly zoom in. Spotfire suggests locations as you type.

Conditional text color in cross tables and tables

Now you can color the text in cross tables and tables when certain conditions are met, as an alternative to coloring the cell background.

Subtotals in cross tables and tables

Configure cross tables to calculate sub- and grand totals on the values displayed in the cells, as an option to calculating using underlying row level data, for example, when you want to visualize the sum of the category absolute values.

Replace data source from Source View

Now you can easily replace any data source from source view without compromising the data wrangling and data mashup you have done. This helps when you have developed the work in non-production environment and want to switch to production with one-click data source replacement.

Edit relational data connection data sources from Source View

Previously, Spotfire users had source view access to change data connection configurations like adding and removing tables and columns, adding or modifying custom queries, modifying prompts, and changing column names and other settings.

With this release, it is just as easy to make changes to the data source used by the data connection. The data source holds information regarding source IP, authentication method, time-outs and database, which are all easy to modify now.

For example, it's now easier than ever to move from a test database to a production database. If different table names are used in the databases, Spotfire highlights these differences and makes it easy to select the corresponding table.

Just click on the settings button on the data source node to edit the data connection.

Edit replace value transformations from Source View

Now you can edit replaced values in an analysis without creating additional transformation steps, so you can go back and modify previously added replacement operations if they are no longer applicable.

By editing already created operations, you can make the analysis cleaner by avoiding transformations that replace the same value over time.

SAP BW connectivity using New SAP BAPI API

The SAP BW connector now has the option to query SAP BW using the native SAP BAPI API integration without going through the ODBO API.

Not only does it provide better performance and more detailed messages from SAP BW, but also a better user experience, and it allow us to develop new features over time.

We have therefore decided to deprecate support for the ODBO API in a future Spotfire release. Both APIs will be available for a period of time so you can upgrade at your own pace.

Also available when administrators enable the SAP BW's BAPI API:

  • Load more than one million SAP BW data cells. Now connect to BEx queries representing more data, and implement more use cases.
  • Increase the default 10 minute timeout so you can import and analyze larger data volumes without timing out (also for the previous ODBO API).

Enhanced support for SAP HANA functions

Spotfire's SAP HANA connector now supports additional functions. These new functions are found in Spotfire's Custom Expressions UI: Median, Stddev_Pop, Stddev_Samp, Var_Pop, Var_Samp, Bitcount, Months_Between and Years_Between. Details for how to use these functions are documented by SAP and are subject to change over time.

Support for Teradata 16

The Teradata connector and Information Services now support Teradata 16.

TIBCO Cloud Spotfire Business Author and Consumer can load public data from Spotfire Data Catalog datamarts

Now you can load data directly from publicly available TIBCO Spotfire Data Catalogs into TIBCO Cloud Spotfire Business Author and Consumer file.

Files authored in Spotfire Analyst and saved to the TIBCO Cloud Spotfire Library are now available for Business Author and Consumer users, and you can refresh data from individual sources in the source view of Spotfire Business Author.

Enhancements in Spotfire Server

We have three new features for scheduling and routing to help administrators more easily manage rules and uncached files:

  • Prevent users from opening files that are not cached by scheduled updates and take too long to load. Learn more here.
  • Recover rules that have been auto-disabled. Now, if a deleted file is imported back to its previous location, any associated routing rules can be re-enabled by updating a setting in the server configuration file, enable-recovered-rules-automatically. Learn more here.
  • Copy routing rules and schedules from one site to another. Learn more here.

Support for new thrift transport modes in Apache Spark SQL

Spotfire's connector for Apache Spark SQL now supports the thrift transport modes Binary, SASL and HTTP. TLS security settings are on by default for new connections, making it faster to configure data connections securely, e.g., to Databricks data sources.

Add transformation to data source

In certain situations, attaching transformations to data sources can dramatically reduce the size of the analysis file as well as the loading times, based on the fact that Spotfire doesn't save the original data in the analysis file, only the transformed result.

For example, adding a pivot data transformation to the data source only stores the pivoted result table and discards the 200M original rows.

Introducing TERR-as-a-Service

TIBCO Cloud Spotfire users can now use the full power of TERR, TIBCO Enterprise Runtime Engine for R to build and deploy R functions, models and forecasts quickly and easily. Use open source R and integrate and deploy R code without the need to rewrite code. Get started with our library of over 600 CRAN packages, and share your predictive dashboards and apps easily with Business Author and Consumer uses.

08 / 2017
7.10

Rotate Markers to Indicate Direction

Rotate markers on Map Charts and Scatter Plots defined by values in a column or custom expression. Orientation of the markers can be configured to visualize directional data such as the wind’s direction or a ship’s heading.

Quick Auto-zoom in Map Charts

Save time customizing your analysis by enabling or disabling auto-zoom directly from the Map Chart contextual menu.

Enhanced Exporting to PDF

Spotfire 7.10 brings a complete overhaul of the Export to PDF feature. Not only will exported visualizations retain the visual theme of the dashboard, but they will be of higher graphical quality. In addition, the export dialog now has a preview to ensure best results. That's not all — there is now a relative scaling option that allows you to adjust the text in your visualizations to best fit your PDF page.

Scroll in Cross Table Hierarchy

When working with large Cross Tables it is now possible to scroll in the hierarchy as well as through the values. There are now three options for configuring scrolling in Cross Tables:

  • Freeze row headers is the old behavior, which keeps the row header frozen and lets the user scroll only among the column values.
  • Scroll row headers means that the cross table will always scroll through both row headers and column values.
  • Adjust automatically is the new default where the cross table will switch automatically between the two above options dependent on the width of the row headers relative to the width of the whole cross table.

API Access to Data Wrangling

The source view introduced in Spotfire 7.6 and all of the data wrangling features added since are now available via the Spotfire API. This allows for new ways of building analytics applications or adapting them on the fly. For example, with API control over the Add Columns operation, you can programmatically edit how data is blended and instantly see the results in the analysis.

Improved Debugging for R Data Functions

When developing and debugging a R data function in Spotfire, you now have the option of sending text output from the data function to the notifications in the lower left of the Spotfire window. By clicking on the notification, you can view the text. Thus, you can use this in order to write debug information as the data function executes.

Enhanced SAP BW Connectivity

You asked, and our engineers answered. The most requested SAP BW integration feature now makes it possible to automatically connect SAP BW BEx query variables to Spotfire prompts. Furthermore, you can now connect Spotfire to your cluster of SAP BW systems via the SAP Message Server load balancer.

Enhanced SAP HANA Connectivity

Spotfire's SAP HANA integration now supports Kerberos authentication in combination with SAP SSO 3.0 in all clients and servers. This enables users analyzing SAP HANA data access without entering their credentials. It also provides a central location for users and roles administration for SAP HANA administrators.

Improved Upgrade Process

You can now upgrade the node manager from the administration UI. Also, this upgrade is now part of the rollback process in case there is an issue or error with the upgrade.

1-Step Deployment of Package Updates

With one click, you can now up update, rollback, or delete your deployment packages.

Configurable Essbase Measure Dimension

Connecting to Oracle Essbase cube just got easier. Now, if your Oracle Essbase cube does not have a dimension tagged as the accounts dimension, you are able to specify which dimension contains the measures.

Pagination for Viewing Scheduled Updates

The Scheduling & Routing page now has pagination. By default, you will see 100 scheduled updates and routing rules, but you also have the option to switch the view to 50 or 150 items per page.

Performance Improvements

In response to requests from the Spotfire user community, we have greatly improved performance when filtering in external data sources.This applies for both filters in the filter panel and in text boxes.

05 / 2017
7.9

Edit Data Transformations

Spotfire 7.9 adds what has been one of the most anticipated new time-saving features, the ability to edit your data transformations. You can adapt to changes in data sources or tweak new transformations without having to start from scratch.

Data Preparation Indicators

Now, whenever a data preparation step has encountered a problem in the data source view, Spotfire will notify you with one of several severity-ranked indicators. The indicators enable quick troubleshooting of data transformations, and when paired with the new edit transformation feature, drastically reduce your time to analysis.

Load more Data from Salesforce

The native Salesforce.com connector for Spotfire is now able to load more data, such as the Case Table, which often keeps millions of records.

Improved Kerberos Integration

Spotfire Information Services now supports constrained Kerberos delegation in combination with compatible JDBC drivers.

TIBCO Cloud Spotfire Data Access

Data from Amazon Redshift, Azure SQL, and OData can now be viewed in TIBCO Cloud Spotfire Business Author and Consumer.

Inline Data Cleaning

Issues in your data are most often found once you start visualizing it, so why not fix them right then and there? Spotfire now has new “replace value” and “replace all occurrences” features for easily cleaning up erroneous data values in table charts and the details-on-demand panel.

Advanced Analytics

In Spotfire 7.9  99% of packages on CRAN―almost 10,000 community packages―can be loaded into the built-in R engine. We’ve also made significant improvements to the engine’s performance and to ease of use for creating graphics.

Connectors and Live Query Tables

Microsoft Azure HDInsight, APACHE KNOX, SAP SSO, and Google Analytics Web Authentication are all now supported.

Location Analytics Update

You can now right-click anywhere on a map and get geographic coordinates (latitude and longitude) for a location. Nautical miles have also been added as a unit of measurement in addition to the existing imperial and metric units when using radius and rectangle selections.

New Data Source Versions

Analysis Services 2016; PostgreSQL 9.5 and 9.6; MySQL 5.7; SAP BW 7.5; and Apache Spark SQL 2.0 are now supported.

05 / 2017

Edit Data Transformations

Spotfire 7.9 adds what has been one of the most anticipated new time-saving features, the ability to edit your data transformations. You can adapt to changes in data sources or tweak new transformations without having to start from scratch.

Data Preparation Indicators

Now, whenever a data preparation step has encountered a problem in the data source view, Spotfire will notify you with one of several severity-ranked indicators. The indicators enable quick troubleshooting of data transformations, and when paired with the new edit transformation feature, drastically reduce your time to analysis.

Load more Data from Salesforce

The native Salesforce.com connector for Spotfire is now able to load more data, such as the Case Table, which often keeps millions of records.

Improved Kerberos Integration

Spotfire Information Services now supports constrained Kerberos delegation in combination with compatible JDBC drivers.

TIBCO Cloud Spotfire Data Access

Data from Amazon Redshift, Azure SQL, and OData can now be viewed in TIBCO Cloud Spotfire Business Author and Consumer.

Inline Data Cleaning

Issues in your data are most often found once you start visualizing it, so why not fix them right then and there? Spotfire now has new “replace value” and “replace all occurrences” features for easily cleaning up erroneous data values in table charts and the details-on-demand panel.

Advanced Analytics

In Spotfire 7.9  99% of packages on CRAN―almost 10,000 community packages―can be loaded into the built-in R engine. We’ve also made significant improvements to the engine’s performance and to ease of use for creating graphics.

Connectors and Live Query Tables

Microsoft Azure HDInsight, APACHE KNOX, SAP SSO, and Google Analytics Web Authentication are all now supported.

Location Analytics Update

You can now right-click anywhere on a map and get geographic coordinates (latitude and longitude) for a location. Nautical miles have also been added as a unit of measurement in addition to the existing imperial and metric units when using radius and rectangle selections.

New Data Source Versions

Analysis Services 2016; PostgreSQL 9.5 and 9.6; MySQL 5.7; SAP BW 7.5; and Apache Spark SQL 2.0 are now supported.

01 / 2017

Des recommandations intelligentes pour l’ajout de lignes

Spotfire détecte et recommande désormais automatiquement si les données que vous ajoutez à une analyse doivent être ajoutées aux données existantes en tant que lignes.

API de diagrammes KPI

Grâce à l’API de diagrammes KPI, créateurs et développeurs peuvent configurer automatiquement les diagrammes KPI avec des scripts IronPython ou des outils personnalisés. Cela permet de créer des applications d’analyse décisionnelle dotées de meilleures performances visuelles et plus conviviales pour les utilisateurs finaux.

Nombre maximum de lignes dans une visualisation de table in-database

Les administrateurs peuvent désormais définir une limite supérieure applicable à l’ensemble du système pour le nombre de lignes visualisables dans une visualisation de table en fonction d’une table de données in-database. Cette configuration s’effectue dans Spotfire Analyst Administration Manager, via l’option Data Import Preferences de l’onglet Preferences.

Authentification fédérée : OpenID

Spotfire Server prend désormais en charge l’utilisation d'OpenID Connect comme méthode d’authentification.

Activer les données à la demande dans Spotfire Cloud Analyst

Votre analyse peut bénéficier du chargement à la demande lorsque vous accédez à des quantités de données importantes. Toutefois, vous ne devez utiliser simultanément que certaines parties des données. Lors de la configuration d’une table de données à la demande, vous pouvez définir les conditions en fonction d’une ou plusieurs autres tables de données afin de contrôler les données à charger.

Prise en charge WMS 1.3.0

Outre les versions existantes 1.1.0 et 1.1.1, la cartographie prend désormais en charge Web Map Service (WMS) 1.3.0.

Définition des proportions dans l’API LayoutDefinition

Il est souvent difficile d’obtenir une belle mise en page lorsque la création des tableaux de bord est automatique. Grâce aux nouvelles fonctionnalités de l’API LayoutDefinition, les développeurs peuvent définir les proportions (verticales ou horizontales) afin de pouvoir pleinement contrôler la mise en page des visualisations, comme cela est possible avec la configuration depuis l’interface utilisateur.

Connecteurs : prise en charge SQL Server 2016, Azure SQL et Azure SQL Data Warehouse

Le connecteur Spotfire pour SQL Server prend désormais en charge SQL Server 2016, Azure SQL et Azure SQL Data Warehouse.

Spotfire Server peut utiliser Microsoft SQL Server 2016

Spotfire Server a besoin d’une base de données pour stocker ses propres données. Avec Spotfire 7.8, il est possible d’utiliser Microsoft SQL Server 2016.

01 / 2017

Des recommandations intelligentes pour l’ajout de lignes

Spotfire détecte et recommande désormais automatiquement si les données que vous ajoutez à une analyse doivent être ajoutées aux données existantes en tant que lignes.

API de diagrammes KPI

Grâce à l’API de diagrammes KPI, créateurs et développeurs peuvent configurer automatiquement les diagrammes KPI avec des scripts IronPython ou des outils personnalisés. Cela permet de créer des applications d’analyse décisionnelle dotées de meilleures performances visuelles et plus conviviales pour les utilisateurs finaux.

Nombre maximum de lignes dans une visualisation de table in-database

Les administrateurs peuvent désormais définir une limite supérieure applicable à l’ensemble du système pour le nombre de lignes visualisables dans une visualisation de table en fonction d’une table de données in-database. Cette configuration s’effectue dans Spotfire Analyst Administration Manager, via l’option Data Import Preferences de l’onglet Preferences.

Authentification fédérée : OpenID

Spotfire Server prend désormais en charge l’utilisation d'OpenID Connect comme méthode d’authentification.

Activer les données à la demande dans Spotfire Cloud Analyst

Votre analyse peut bénéficier du chargement à la demande lorsque vous accédez à des quantités de données importantes. Toutefois, vous ne devez utiliser simultanément que certaines parties des données. Lors de la configuration d’une table de données à la demande, vous pouvez définir les conditions en fonction d’une ou plusieurs autres tables de données afin de contrôler les données à charger.

Prise en charge WMS 1.3.0

Outre les versions existantes 1.1.0 et 1.1.1, la cartographie prend désormais en charge Web Map Service (WMS) 1.3.0.

Définition des proportions dans l’API LayoutDefinition

Il est souvent difficile d’obtenir une belle mise en page lorsque la création des tableaux de bord est automatique. Grâce aux nouvelles fonctionnalités de l’API LayoutDefinition, les développeurs peuvent définir les proportions (verticales ou horizontales) afin de pouvoir pleinement contrôler la mise en page des visualisations, comme cela est possible avec la configuration depuis l’interface utilisateur.

Connecteurs : prise en charge SQL Server 2016, Azure SQL et Azure SQL Data Warehouse

Le connecteur Spotfire pour SQL Server prend désormais en charge SQL Server 2016, Azure SQL et Azure SQL Data Warehouse.

Spotfire Server peut utiliser Microsoft SQL Server 2016

Spotfire Server a besoin d’une base de données pour stocker ses propres données. Avec Spotfire 7.8, il est possible d’utiliser Microsoft SQL Server 2016.

01 / 2017

Des recommandations intelligentes pour l’ajout de lignes

Spotfire détecte et recommande désormais automatiquement si les données que vous ajoutez à une analyse doivent être ajoutées aux données existantes en tant que lignes.

API de diagrammes KPI

Grâce à l’API de diagrammes KPI, créateurs et développeurs peuvent configurer automatiquement les diagrammes KPI avec des scripts IronPython ou des outils personnalisés. Cela permet de créer des applications d’analyse décisionnelle dotées de meilleures performances visuelles et plus conviviales pour les utilisateurs finaux.

Nombre maximum de lignes dans une visualisation de table in-database

Les administrateurs peuvent désormais définir une limite supérieure applicable à l’ensemble du système pour le nombre de lignes visualisables dans une visualisation de table en fonction d’une table de données in-database. Cette configuration s’effectue dans Spotfire Analyst Administration Manager, via l’option Data Import Preferences de l’onglet Preferences.

Authentification fédérée : OpenID

Spotfire Server prend désormais en charge l’utilisation d'OpenID Connect comme méthode d’authentification.

Activer les données à la demande dans Spotfire Cloud Analyst

Votre analyse peut bénéficier du chargement à la demande lorsque vous accédez à des quantités de données importantes. Toutefois, vous ne devez utiliser simultanément que certaines parties des données. Lors de la configuration d’une table de données à la demande, vous pouvez définir les conditions en fonction d’une ou plusieurs autres tables de données afin de contrôler les données à charger.

Prise en charge WMS 1.3.0

Outre les versions existantes 1.1.0 et 1.1.1, la cartographie prend désormais en charge Web Map Service (WMS) 1.3.0.

Définition des proportions dans l’API LayoutDefinition

Il est souvent difficile d’obtenir une belle mise en page lorsque la création des tableaux de bord est automatique. Grâce aux nouvelles fonctionnalités de l’API LayoutDefinition, les développeurs peuvent définir les proportions (verticales ou horizontales) afin de pouvoir pleinement contrôler la mise en page des visualisations, comme cela est possible avec la configuration depuis l’interface utilisateur.

Connecteurs : prise en charge SQL Server 2016, Azure SQL et Azure SQL Data Warehouse

Le connecteur Spotfire pour SQL Server prend désormais en charge SQL Server 2016, Azure SQL et Azure SQL Data Warehouse.

Spotfire Server peut utiliser Microsoft SQL Server 2016

Spotfire Server a besoin d’une base de données pour stocker ses propres données. Avec Spotfire 7.8, il est possible d’utiliser Microsoft SQL Server 2016.

01 / 2017

Des recommandations intelligentes pour l’ajout de lignes

Spotfire détecte et recommande désormais automatiquement si les données que vous ajoutez à une analyse doivent être ajoutées aux données existantes en tant que lignes.

API de diagrammes KPI

Grâce à l’API de diagrammes KPI, créateurs et développeurs peuvent configurer automatiquement les diagrammes KPI avec des scripts IronPython ou des outils personnalisés. Cela permet de créer des applications d’analyse décisionnelle dotées de meilleures performances visuelles et plus conviviales pour les utilisateurs finaux.

Nombre maximum de lignes dans une visualisation de table in-database

Les administrateurs peuvent désormais définir une limite supérieure applicable à l’ensemble du système pour le nombre de lignes visualisables dans une visualisation de table en fonction d’une table de données in-database. Cette configuration s’effectue dans Spotfire Analyst Administration Manager, via l’option Data Import Preferences de l’onglet Preferences.

Authentification fédérée : OpenID

Spotfire Server prend désormais en charge l’utilisation d'OpenID Connect comme méthode d’authentification.

Activer les données à la demande dans Spotfire Cloud Analyst

Votre analyse peut bénéficier du chargement à la demande lorsque vous accédez à des quantités de données importantes. Toutefois, vous ne devez utiliser simultanément que certaines parties des données. Lors de la configuration d’une table de données à la demande, vous pouvez définir les conditions en fonction d’une ou plusieurs autres tables de données afin de contrôler les données à charger.

Prise en charge WMS 1.3.0

Outre les versions existantes 1.1.0 et 1.1.1, la cartographie prend désormais en charge Web Map Service (WMS) 1.3.0.

Définition des proportions dans l’API LayoutDefinition

Il est souvent difficile d’obtenir une belle mise en page lorsque la création des tableaux de bord est automatique. Grâce aux nouvelles fonctionnalités de l’API LayoutDefinition, les développeurs peuvent définir les proportions (verticales ou horizontales) afin de pouvoir pleinement contrôler la mise en page des visualisations, comme cela est possible avec la configuration depuis l’interface utilisateur.

Connecteurs : prise en charge SQL Server 2016, Azure SQL et Azure SQL Data Warehouse

Le connecteur Spotfire pour SQL Server prend désormais en charge SQL Server 2016, Azure SQL et Azure SQL Data Warehouse.

Spotfire Server peut utiliser Microsoft SQL Server 2016

Spotfire Server a besoin d’une base de données pour stocker ses propres données. Avec Spotfire 7.8, il est possible d’utiliser Microsoft SQL Server 2016.