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Introducing SAP Databricks | BR
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Trabalhando com dados da SAP no SAP Databricks
Preparação para trabalhar com seus dados SAP no SAP Databricks
Apresentamos o SAP Databricks
6 min
Compartilhamento de dados da SAP com o SAP Databricks
10 min
Explorando dados da SAP com o SQL do SAP Databricks
5 min
Quiz
Trabalhando com dados da SAP no SAP Databricks
Obter insights aproveitando os recursos de ML do SAP Databricks
19 min
Compartilhamento de resultados de volta para o SAP Business Data Cloud
8 min
Quiz
Preparação para trabalhar com seus dados SAP no SAP Databricks
Apresentamos o SAP Databricks
6 min
Compartilhamento de dados da SAP com o SAP Databricks
10 min
Explorando dados da SAP com o SQL do SAP Databricks
5 min
Quiz
Trabalhando com dados da SAP no SAP Databricks
Obter insights aproveitando os recursos de ML do SAP Databricks
19 min
Compartilhamento de resultados de volta para o 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.