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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
14 Hours
Testimonials (5)
Understanding big data beter
Shaune Dennis - Vodacom
Course - Big Data Business Intelligence for Telecom and Communication Service Providers
Machine learning, python, data manipulation
Siphelo Mapolisa - University Of South Africa
Course - Data Science: Analysis and Presentation
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
It is great to have the course custom made to the key areas that I have highlighted in the pre-course questionnaire. This really helps to address the questions that I have with the subject matter and to align with my learning goals.
Winnie Chan - Statistics Canada
Course - Jupyter for Data Science Teams
The example and training material were sufficient and made it easy to understand what you are doing.