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Introducing SAP Databricks | ZH
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在 SAP Databricks 中使用 SAP 数据
准备在 SAP Databricks 中使用 SAP 数据
SAP Databricks 简介
6 min
将 SAP 数据共享到 SAP Databricks
10 min
使用 SAP Databricks SQL 探索 SAP 数据
5 min
Quiz
在 SAP Databricks 中使用 SAP 数据
利用 SAP Databricks 机器学习功能获取洞察
19 min
将结果共享回 SAP Business Data Cloud
8 min
Quiz
准备在 SAP Databricks 中使用 SAP 数据
SAP Databricks 简介
6 min
将 SAP 数据共享到 SAP Databricks
10 min
使用 SAP Databricks SQL 探索 SAP 数据
5 min
Quiz
在 SAP Databricks 中使用 SAP 数据
利用 SAP Databricks 机器学习功能获取洞察
19 min
将结果共享回 SAP Business Data Cloud
8 min
Quiz
Knowledge quiz
It's time to put what you've learned to the test, get 3 right to pass this unit.
1.
What are the main features of Python notebooks for machine learning projects?
There are two correct answers.
They allow for interactive code execution and immediate result visualization.
They require running the entire program to see results, to avoid errors.
They blend code with narrative text and visuals for storytelling.
They require several setup and configuration steps before use.
2.
Before you can generate a custom data product from your SAP Databricks machine learning results, you must first share the results from the SAP Databricks catalog.
Choose the correct answer.
True
False
3.
In SAP Databricks, for which purpose do you use MLflow?
Choose the correct answer.
To log models and register them for future use.
To automate the entire machine learning process without user intervention.
To provides real-time data extraction capabilities.
To train time series algorithms using multiple models in parallel.