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Introducing SAP Databricks | ES
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Trabajar con datos de SAP en SAP Databricks
Prepararse para trabajar con sus datos de SAP en SAP Databricks
Presentación de SAP Databricks
6 min
Compartir datos de SAP con SAP Databricks
10 min
Exploración de datos de SAP con SAP Databricks SQL
5 min
Quiz
Trabajar con datos de SAP en SAP Databricks
Derivar información estratégica aprovechando las capacidades de SAP Databricks ML
19 min
Compartir resultados de nuevo con SAP Business Data Cloud
8 min
Quiz
Prepararse para trabajar con sus datos de SAP en SAP Databricks
Presentación de SAP Databricks
6 min
Compartir datos de SAP con SAP Databricks
10 min
Exploración de datos de SAP con SAP Databricks SQL
5 min
Quiz
Trabajar con datos de SAP en SAP Databricks
Derivar información estratégica aprovechando las capacidades de SAP Databricks ML
19 min
Compartir resultados de nuevo con 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.
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.
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.
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.