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Introducing SAP Databricks | KO
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SAP Databricks에서 SAP 데이터 사용
SAP Databricks에서 SAP 데이터로 작업하기 위한 준비
SAP Databricks 소개
6 min
SAP Databricks에 SAP 데이터 공유
10 min
SAP Databricks SQL을 사용하여 SAP 데이터 탐색
5 min
Quiz
SAP Databricks에서 SAP 데이터 사용
SAP Databricks ML 기능을 활용하여 인사이트 추출
19 min
결과를 SAP Business Data Cloud로 다시 공유
8 min
Quiz
SAP Databricks에서 SAP 데이터로 작업하기 위한 준비
SAP Databricks 소개
6 min
SAP Databricks에 SAP 데이터 공유
10 min
SAP Databricks SQL을 사용하여 SAP 데이터 탐색
5 min
Quiz
SAP Databricks에서 SAP 데이터 사용
SAP Databricks ML 기능을 활용하여 인사이트 추출
19 min
결과를 SAP Business Data Cloud로 다시 공유
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.
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.
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