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KNIME Analytics Platform is a software application that enables the creation and analysis of data-driven workflows, or pipelines, within the KNIME platform. The software was originally developed by researchers at the University of Konstanz in Germany, but is now available under an open source licence.
The software offers a number of platform-specific features:
SAS Visual Data Mining and Machine Learning (VDMML) is a software package, part of the SAS Viya platform, that allows users to analyse data, find patterns and make predictions. The software can be used for a variety of tasks, such as predictive analytics and modelling, providing a complete solution for advanced analytics.
SAS Visual Data Mining and Machine Learning offers an intuitive interface that makes it easy for users to explore and visualise their data, as well as the ability to perform advanced statistical analysis. It builds on the SAS Visual Analytics platform for business intelligence, and includes a suite of analytical tools that can be used independently or together to address problems across the full spectrum of business intelligence applications.
This software can be used with other SAS products as well as third-party applications.
Some highlights of the tool:
IBM Cloud Pak for Data is a cloud-based data management solution that enables you to manage, secure and analyze data in one place and manage the entire data lifecycle.
It integrates with a wide range of applications, including SAP and Oracle databases, as well as open source databases such as MySQL and PostgreSQL.
Key features of IBM Cloud Pak for Data include:
A single platform with a unified user experience for creating, managing and securing data.
Enhanced security through encryption at rest and in motion, as well as role-based access control.
A unified dashboard that provides a view of all data sources for easy management from one place.
Access to data from anywhere, on any device.
The product also supports a variety of cloud storage platforms, including Microsoft Azure, Amazon S3/S4 and IBM Storwize V7000.
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