English Qlik Sense June 2017

What’s new in Qlik Sense June 2017?

Here are the highlights of the new Qlik Sense release:

New chart types and color options

You can now use box plots, distribution plots, and histograms to visualize the range and distribution of your data (New visualizations).

More options are available for controlling color in master dimensions (Colors and dimensions).

 

Enhanced data preparation

You can now synchronize your scripted tables in Data manager (Synchronizing scripted tables in Data manager), use data profiling cards (Data profiling cards), and manually concatenate tables (Concatenation in Data manager).

 

On-demand apps for big data

You can now design apps for big data sources so that detailed data is generated on demand (On-demand apps).

Advanced analytics integration

You can now extend the Qlik Sense expression library using server-side extensions (Analytic connections).

Create, Discover, Collaborate

On-demand apps

On-demand apps enable you to load and analyze very large volumes of data, so-called big data. On-demand apps provide aggregate views of big data stores and allow you to identify relevant subsets of the data to load for detailed analysis. On-demand apps are created from specially designed selection apps and template apps.

Managing big data with on-demand apps

New visualizations

You can now use these additional chart types to visualize distribution and range of your data.

Box plot The box plot is suitable for comparing range and distribution for groups of numerical data. Data is visualized by a box with whiskers, and a center line in the middle.
Distribution plot The distribution plot is suitable for comparing range and distribution for groups of numerical data. Data is plotted as value points along an axis.
Histogram The histogram is suitable for visualizing distribution of numerical data over a continuous interval, or a certain time period. The data is divided into bins.

Synchronizing scripted tables in Data manager

You can now synchronize your scripted tables in Data manager, enabling you to use the tools available in Data manager with your scripted tables.

Synchronizing scripted tables in Data manager

Data profiling cards

You can now view summaries of table field data and transform that data in Data manager using the data profiling cards.

The Summary card enables you to view a summary of data in a table's field. In addition, the Summary card enables you to view different possible data interpretations, such as viewing the field's data as a dimension or measure, enabling different potential transformation options.

Assessing table field data before loading data

The Replace card enables you to select one or more values from a field and replace them with another value.

Replacing field values in a table

The Set nulls card enables you to select values from a table field and then manually set them as null.

Setting field values as null in a table

The Order card enables you to apply a custom order to values in a dimension field.

Customizing the order of dimension values

The Split card enables you to split content from a field into multiple fields.

Splitting a field in a table

The Bucket card enables the grouping of measure field data into ranges, creating a new field with the specified groupings.

Grouping measure data into ranges

Concatenation in Data manager

You can now manually concatenate tables in Data manager.

Concatenating tables in Data manager

Colors and dimensions

You can now assign colors to master dimensions, ensure that the same colors are used for your dimensions across visualizations.

You can also now assign individual colors to a dimension's values, ensuring that individual values are colored consistently across visualizations when coloring by dimension.

Assigning colors to master items

Assigning colors to master dimension values

Administer

Single sign-on to Cloudera Impala

You can now set up SSO connections to Cloudera Impala.

You set up single sign-on by establishing a trusted connection to Cloudera Impala, and then setting the ODBC connection to use the Qlik Sense credentials.

Configuring Cloudera Impala for Single Sign-On

Three new Monitoring apps

To scale with deployment size and expanding log history, and to meet greater needs for Qlik Sense monitoring, the Monitoring apps have been refactored into three new smaller, more specialized apps.

Log Monitor

Reloads Monitor

Sessions Monitor

Analytic connections

With the analytic connections you can configure a server-side extension to extend the Qlik Sense expression library and support calls to third-party engines.

Analytic connections