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Introducing SAP Databricks
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Working with SAP Data in SAP Databricks
Preparing to Work with Your SAP Data in SAP Databricks
Introducing SAP Databricks
6 min
Sharing SAP Data to SAP Databricks
10 min
Exploring SAP Data with SAP Databricks SQL
5 min
Quiz
Working with SAP Data in SAP Databricks
Deriving Insights by leveraging SAP Databricks ML Capabilities
19 min
Sharing Results Back to SAP Business Data Cloud
8 min
Quiz
Preparing to Work with Your SAP Data in SAP Databricks
Introducing SAP Databricks
6 min
Sharing SAP Data to SAP Databricks
10 min
Exploring SAP Data with SAP Databricks SQL
5 min
Quiz
Working with SAP Data in SAP Databricks
Deriving Insights by leveraging SAP Databricks ML Capabilities
19 min
Sharing Results Back to 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.
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.
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.
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