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Announcing General Availability of SPSS Modeler 18.4, SPSS Collaboration and Deployment Services 8.4, and SPSS Analytic Server 3.4
By
Gene Azad
posted
Thu June 23, 2022 05:56 PM
1
Like
The IBM SPSS Modeler team is pleased to announce that
SPSS Modeler 18.4, SPSS Collaboration and Deployment Services 8.4, and SPSS Analytic Server 3.4
is generally available. These new versions within the SPSS Modeler suite of products bring new functionalities and the most requested enhancements like:
New options for
scheduling jobs
. Within
SPSS Collaboration and Deployment Services
,
users
can now
specify job configurations
down to the second
and
can
specify a start and end time for jobs
Ability to easily switch Python environments via the SPSS Modeler user interface
Support of new databases. With more databases supported, users now have more options to take advantage of SPSS Modeler capabilities wherever their data resides
Support for IBM Cloud Pak for Data template formats on Text Analytics. It is now easier for SPSS Modeler users to integrate their workload with IBM Cloud Pak for Data
Support of new operating systems, tools, and connectors, allowing users to be able to use the most up-to-date software
The full list of new features and enhancements can be found in the
What's New
section
.
Overview of SPSS Modeler
SPSS Modeler is a robust data science
software
for professional analysts and data scientists. The
software
scales from supporting line-of-business predictive analysis to enterprise-scale implementation.
SPSS Modeler delivers a robust predictive analytics
solution
for a holistic approach to predictive analytics. It brings predictive intelligence to decisions made by individuals, groups, systems, and the enterprise by leveraging the cross-industry process for data mining (CRISP-DM) framework.
SPSS Modeler
helps drive a higher
return on investment
to data-driven decision-making by providing an intuitive and visual interface for data science, including data preparation, text analytics, building predictive models, and deploying the models in production.
To extend its depth and breadth of functionality, SPSS Modeler 18.4 is supported by the complementary products SPSS Collaboration and Deployment Services 8.4, providing automation, deployment, and a collaborative foundation for SPSS Modeler, and SPSS Analytic Server 3.4, helping leverage big data environments for SPSS Modeler.
What's New?
SPSS Modeler 18.4
Cloud Pak for Data template formats (json) are now supported in Text Analytics
Ability to switch Python environments via the SPSS Modeler user interface
New menu item is available for managing
SPSS Modeler
Server connections
Enhanced password encryption
Mac OS 12 is now supported
Windows 11 is now supported
Java 11 is now supported
CPLEX 22.1 is now supported
InstallAnywhere 2021 sp2 is now supported
SPSS Data Access Pack 8.1.1 is now supported
Netezza Performance Server 11.x is now supported
Cognos Analytics Connector 11.1.7 is now supported
Amazon S3 is now supported (for reading data, only)
ClickHouse database version 22.3 is now supported
SPSS Collaboration and Deployment Services 8.4
New options are available for scheduling jobs. U
sers
can now
specify job configurations
down to the second
and
can
specify a start and end time for jobs
A new keystore migration tool is available to help
user
migrate Java Runtime Environment (JRE) keystore files
A new installation option is available for deploying at a later time
The installation process on IBM WebSphere Liberty has been refined and improved
Windows 11 is now supported
JBoss EAP 7.4 and WebSphere Liberty Profile 22.x are now supported
JDK/JRE 11 is now supported on JBoss EAP 7.x and WebSphere Liberty Profile 22.x
SPSS Analytic Server 3.4
Improvements to Impala performance for non-pushback functions
Data can now be exported to Apache Hive-partitioned tables
Cloudera Data Platform (CDP) Private Cloud Base 7.1.7
is now supported
Red Hat 8.x
is now supported
Big SQL 7
is now supported
R 4.0.x
is now supported
Java 11
is now supported
Try SPSS Modeler Today
Get started with a
free trial of SPSS Modeler
or
learn more about SPSS Modeler
on our website
#SPSSModeler
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