Book
Mastering Spark with R The Complete Guide to Large-Scale Analysis and Modeling
| Identifier | --javierlura-1689 |
|---|---|
| Penulis / Pengarang | Javier Luraschi, Kevin Kuo, and Edgar Ruiz |
| Kata Kunci | Spark |
| Tanggal Publikasi | 12 Jun 2020 |
| Bahasa | Bahasa Inggris |
| Abstrak / Deskripsi | Apache Spark is a distributed computing platform built on extensibility: Spark’s APIs make it easy to combine input from many data sources and process it using diverse programming languages and algorithms to build a data application. R is one of the most powerful languages for data science and statistics, so it makes a lot of sense to connect R to Spark. Fortunately, R’s rich language features enable simple APIs for calling Spark from R that look similar to running R on local data sources. With a bit of background about both systems, you will be able to invoke massive computations in Spark or run your R code in parallel from the comfort of your favorite R programming environment. |
File Lampiran / Download (1)
| No | Nama Berkas | Format | Ukuran | Aksi |
|---|---|---|---|---|
| 1 | 2020 Mastering Spark with R by Javier Luraschi.pdf | application/pdf | 16,2 MB | ⬇️ Buka / Download |
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