Course Outline
Day 1:
- Introduction
Module 1: KNIME Server:
Collaboration - Connecting and Deploying Items to KNIME Server from KNIME Analytics Platform
- How to Connect to KNIME Server
- Permission Settings on KNIME Server
Module 2: KNIME Server: Automation & Deployment
Automation and Deployment - Remote Execution and KNIME WebPortal
- Remote Execution on KNIME Server
- KNIME Remote Workflow Editor
- KNIME WebPortal
Day 2:
Module 3: KNIME Server: Management
Management - Versioning and Workflow Difference
- Versioning
- Workflow Comparison
- Node Comparison
Module 4: Overview of KNIME Analytics Platform
- Controlling the model flow
- Model deployment on KNIME Server
- Test Scenarios between KNIME AP & Server
- Summary and Conclusion
Requirements
- A basic understanding of making sense of the data.
- Experience with fundamental data processing.
Audience
- data science managers
- model administrators
- data engineers
- data analysts
- data scientists
Testimonials (5)
examples and exercises
Kamil
Course - Introduction to Data Science and AI using Python
Machine Translated
Rzeczowa wiedza poparta doświadczeniem praktycznym. Pierwszy raz brałem udział w szkoleniu 1 osobowym co znaczanie bardziej ułatwiło kontakt i przyswajanie wiedzy, także tutaj też duzy plus.
Mateusz Macalik - LG Energy Solution Wrocław Sp. z o.o.
Course - Introduction to Data Science
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Vodacom
Course - Big Data Business Intelligence for Telecom and Communication Service Providers
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra