課程簡介
第一天:
- 介紹
模組 1:KNIME 伺服器:
協作 - 將專案從 KNIME Analytics Platform 連接和部署到 KNIME 伺服器
- 如何連接到 KNIME 伺服器
- KNIME 伺服器上的許可權設置
模組 2:KNIME 伺服器:自動化和部署
自動化和部署 - 遠端執行和 KNIME WebPortal
- 在KNIME 伺服器上遠端執行
- KNIME 遠端工作流編輯器
- KNIME 入口網站
第2天:
模組 3:KNIME 伺服器:Management
Management - 版本控制和工作流差異
- 版本控制
- 工作流比較
- 節點比較
模組 4:KNIME 分析平臺概述
- 控制模型流
- 在 KNIME 伺服器上部署模型
- KNIME AP 和伺服器之間的測試場景
- 總結和結論
最低要求
- 對理解數據的基本理解。
- 具有基礎數據處理經驗。
觀眾
- 數據科學經理
- 模型管理員
- 數據工程師
- 數據分析師
- 數據科學家
客戶評論 (4)
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
Marija Hornis Dmitrovic - Marija Hornis
Course - Data Science for Big Data Analytics
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.