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What is Rapidminer SLC?

Rapidminer SLC is a Siemens analytics platform designed to help organizations modernize SAS language environments while expanding into open-source and multi-platform analytics. It allows teams to keep using existing SAS language programs while also working with Python, R, SQL, no-code tools, and drag-and-drop workflows. The solution helps organizations reduce migration risk by supporting existing analytics assets rather than requiring a disruptive replacement process. Rapidminer SLC is built to maintain business continuity while giving analysts, developers, and operations teams a path toward a more flexible analytics ecosystem. Users can create, execute, and operationalize analytics in modern environments across on-premises, cloud, and hybrid infrastructures. The platform supports access to many data sources, including cloud services, Hadoop, data warehouses, databases, Microsoft Excel, CSV, SPSS, SAS language data, and other file-based formats. Its Analytics Workbench provides a modern IDE for building, maintaining, running, and reviewing programs across multiple languages. Teams can explore data, results, and logs using code, no-code methods, or a combination of both. Rapidminer SLC makes it easier to exchange data between SAS language, Python, R, and SQL, helping organizations blend established workflows with newer analytics approaches. Rapidminer SLC Hub supports enterprise needs such as security, load balancing, deployment, publishing, scheduling, user provisioning, and workload distribution across resilient node clusters. With broad data access, multi-language development, centralized governance, and enterprise execution tools, Rapidminer SLC helps businesses transition analytics infrastructure while protecting existing investments.

What is IBM Lift?

IBM Lift streamlines the migration of your database from on-premises solutions to an IBM Cloud® data environment, enabling a swift, secure, and reliable transition. This tool is specifically designed for hassle-free cloud migration without any downtime, allowing for a seamless transfer of your complete database to the IBM Cloud. The migration process is divided into two key phases: schema conversion and data migration. To kick off the schema conversion, you must download the IBM Database Conversion Workbench, which assists you in modifying your source database DDL to ensure it aligns with your target system's requirements. Furthermore, the workbench will produce a report that points out specific areas necessitating your attention. Once your schema is successfully configured, you can move on to the data migration using the Lift CLI. Start by generating a series of CSV files that document the incremental changes for each database table. Next, leverage the Lift CLI to gather these delimited files, securely transmit them, and import them into IBM® Db2® Warehouse on Cloud, guaranteeing a smooth and effective migration experience. By meticulously adhering to these outlined steps, you can facilitate a successful transition to the cloud while minimizing disruptions and maintaining data integrity throughout the process. With IBM Lift, you can confidently embrace the advantages of cloud technology.

Media

Media

Integrations Supported

Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.siemens.com/en-us/products/rapidminer/slc/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/lift

Categories and Features

Data Analysis

Not specified

Data Mining

Not specified

Machine Learning

Not specified

Predictive Analytics

Not specified

Categories and Features

Cloud Migration

Not specified

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