RHIPE is a Java package that combines the R environment with Hadoop, allowing for the creation of map-reduce algorithms. It is free to use and open source, offering a seamless integration between the two platforms.
If you're looking for a reliable package that integrates the R environment with Hadoop for implementing Google mapreduce, then you should consider using RHIPE. This Java-based software is completely free of charge and easy to use.
With RHIPE, coding map-reduce algorithms has never been easier. This package enables you to seamlessly integrate R and Hadoop and get the best of both worlds. The open-source implementation of Google mapreduce is optimized for handling massive datasets, and R is known for its powerful statistical analysis capabilities.
RHIPE is a software tool that leverages both these attributes to provide you with a robust platform for data analysis. You can easily run R commands on the Hadoop Distributed File System (HDFS), and also make use of Hadoop's parallel processing capabilities.
This package is especially useful for data scientists and researchers looking to analyze massive datasets quickly and efficiently. With RHIPE, you can run complex statistical models on large amounts of data and get results in no time.
To sum up, if you're looking for a reliable and user-friendly software tool that integrates R with Hadoop for efficient data analysis, then RHIPE is the way to go. It's easy to install, easy to use, and completely free of charge, making it an ideal choice for data scientists of all levels.
With RHIPE, coding map-reduce algorithms has never been easier. This package enables you to seamlessly integrate R and Hadoop and get the best of both worlds. The open-source implementation of Google mapreduce is optimized for handling massive datasets, and R is known for its powerful statistical analysis capabilities.
RHIPE is a software tool that leverages both these attributes to provide you with a robust platform for data analysis. You can easily run R commands on the Hadoop Distributed File System (HDFS), and also make use of Hadoop's parallel processing capabilities.
This package is especially useful for data scientists and researchers looking to analyze massive datasets quickly and efficiently. With RHIPE, you can run complex statistical models on large amounts of data and get results in no time.
To sum up, if you're looking for a reliable and user-friendly software tool that integrates R with Hadoop for efficient data analysis, then RHIPE is the way to go. It's easy to install, easy to use, and completely free of charge, making it an ideal choice for data scientists of all levels.
What's New
Version 0.44: N/A