BIG Data & Data Analytics
Analyzing Big Data with Microsoft R
This training largely focuses upon the key components and functionalities of RevoScaleR Package.
What is Analyzing Big Data with Microsoft R Training About?
The Analyzing Big Data with Microsoft R Training is designed for professionals looking to overcome R’s limitations and perform large-scale data analysis efficiently. This course will teach you how to use Microsoft R to analyze massive datasets, run computations at scale, and deploy R code on Spark clusters and SQL Server databases.
By the end of this training, you will be able to leverage Microsoft R Server and R Client to handle large datasets, perform data transformations, build predictive models, and integrate R into Big Data ecosystems like Hadoop and SQL Server.
By the end of this training, you will be able to leverage Microsoft R Server and R Client to handle large datasets, perform data transformations, build predictive models, and integrate R into Big Data ecosystems like Hadoop and SQL Server.
What are the objectives of Analyzing Big Data with Microsoft R Training ?
By the end of this training, you will be able to:
- Explain how Microsoft R Server and Microsoft R Client work
- Use R Client with R Server to explore big data held in different data stores
- Visualize data by using graphs and plots
- Transform and clean big data sets
- Implement options for splitting analysis jobs into parallel tasks
- Build and evaluate regression models generated from big data
- Create, score, and deploy partitioning models generated from big data
- Use R in the SQL Server and Hadoop environments
Who should take this Training?
This training program is ideal for:
- Data Analysts & Data Scientists working with large datasets
- Developers looking to integrate R into their applications
- Business Intelligence Professionals leveraging R for advanced analytics
- Big Data Engineers working on data modeling and processing
- SQL & Hadoop Professionals incorporating R-based analytics
What are the prerequisites for Analyzing Big Data with Microsoft R Training?
- Basic programming knowledge (loops, functions, control flows)
- Good understanding of R and its data structures (vectors, matrices, data frames, lists)
- Familiarity with data manipulation in R (e.g., merge, subset, cbind, rbind, apply)
- Some exposure to SQL Server or Hadoop environments is beneficial but not mandatory
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