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Introducing SAP Databricks | JP
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SAP Databricks での SAP データの使用
SAP Databricks での SAP データの使用の準備
SAP Databricks の導入
6 min
SAP Databricks への SAP データの共有
10 min
SAP Databricks SQL を使用した SAP データの探索
5 min
Quiz
SAP Databricks での SAP データの使用
SAP Databricks ML 機能を活用してインサイトを導出
19 min
SAP Business Data Cloud への結果の共有
8 min
Quiz
SAP Databricks での SAP データの使用の準備
SAP Databricks の導入
6 min
SAP Databricks への SAP データの共有
10 min
SAP Databricks SQL を使用した SAP データの探索
5 min
Quiz
SAP Databricks での SAP データの使用
SAP Databricks ML 機能を活用してインサイトを導出
19 min
SAP Business Data Cloud への結果の共有
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.
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
2.
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.
3.
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.