Also, connects your R program to a Spark cluster. Starting Up: SparkSessionÄ«asically, SparkSession is an entry point into SparkR. Also, existing local R data frames are used for construction. For example structured data files, tables in Hive, external databases. Moreover, we can construct a DataFrame from a wide array of sources. Basically, it is as same as a table in a relational database or a data frame in R. SparkDataFrame in SparkRÄata is organized as a distributed collection of data into named columns. Moreover, using MLlib it also supports distributed machine learning. For example, selection, filtering, aggregation and many more. Initially, with Spark 1.4.x, it offers a distributed DataFrame implementation. Also, supports various operations. Basically, that provides a light-weight frontend to use Apache Spark from R. Stay updated with latest technology trends
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |