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- Data Processing with RxDataStep
- Linear Model, Partitioning Models
- Hadoop
- DataSets
- Spark
- Work Flow Analysis
- Transform Functions
- Read Data with R Server
Reference: https://www.microsoft.com/en-us/learning/exam-70-773.aspx
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Microsoft 070-773 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Read and Explore Big Data | - Read data with R Server - Visualize data - Summarize data |
| Process Big Data | - Perform complex transforms using transform functions - Process text using MicrosoftML packages - Process data with rxDataStep - Manage data sets |
| Build Predictive Models with ScaleR | - Estimate linear models - Evaluate models and tuning parameters - Create additional models using MicrosoftML packages - Generate predictions and residuals - Build and use partitioning models |
| Use R Server in Different Environments | - Optimize tasks using local compute contexts - Implement analysis workflows in Hadoop and Spark - Deploy predictive models to SQL Server and Azure Machine Learning - Perform in-database analytics using SQL Server - Use different compute contexts to run R Server effectively |
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