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Description
IBM Lift simplifies the process of migrating your database from on-premises facilities to an IBM Cloud® data environment by ensuring a quick, safe, and dependable transition. This tool is specifically crafted for seamless cloud migration without any downtime, allowing you to transfer your entire database to the IBM Cloud effortlessly. The migration process consists of two main steps: schema conversion and data migration. To initiate schema conversion, you will need to download the IBM Database Conversion Workbench, which guides you through adapting your source database DDL for compatibility with your target system. Additionally, the workbench generates a report highlighting specific areas that require your attention. After successfully setting up your schema, you can proceed to migrate your data using the Lift CLI. Begin by creating a series of CSV files that capture your incremental changes for each database table. Then, utilize the Lift CLI to collect these delimited files, transmit them securely, and import them into IBM® Db2® Warehouse on Cloud, ensuring a smooth and efficient migration experience. By following these steps, you can ensure a successful transition to the cloud with minimal disruption.
Description
Rapidminer SLC is a Siemens software solution built to help organizations modernize analytics environments while continuing to use existing SAS language programs. It gives analysts, developers, and operations teams a flexible way to work with SAS language, Python, R, SQL, no-code tools, and drag-and-drop workflows in one ecosystem. The platform helps reduce migration risks by maintaining functionality for current SAS language applications while enabling gradual adoption of open-source analytics. Rapidminer SLC supports on-premises, cloud, and hybrid deployments, giving organizations more freedom to evolve infrastructure without disrupting business operations. Users can connect to a wide range of data sources, including cloud services, Hadoop, data warehouses, databases, Microsoft Excel, CSV files, SPSS, SAS language formats, and other file-based data. Its modern IDE allows teams to create, maintain, run, and analyze programs while reviewing data, results, and logs in one environment. Rapidminer SLC also makes it possible to exchange data between SAS language, Python, R, and SQL for more connected analytics development. Rapidminer SLC Hub adds enterprise management features for security, load balancing, publishing, deployment, and workload allocation. By combining legacy analytics support with modern open-source flexibility, Rapidminer SLC helps organizations improve productivity, scalability, and long-term analytics innovation.
API Access
Has API
API Access
Has API
Integrations
Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon
Integrations
Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/lift
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/rapidminer/slc/
Product Features
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
