Introduction to Spark with sparklyr in R

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Free Online Course: Introduction to Spark with sparklyr in R provided by DataCamp is a comprehensive online course, which lasts for 4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from DataCamp. Introduction to Spark with sparklyr in R is taught by Richie Cotton.

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4 hours worth of material

Self Paced

Learn how to analyze huge datasets using Apache Spark and R using the sparklyr package.

R is mostly optimized to help you write data analysis code quickly and readably. Apache Spark is designed to analyze huge datasets quickly. The sparklyr package lets you write dplyr R code that runs on a Spark cluster, giving you the best of both worlds. This course teaches you how to manipulate Spark DataFrames using both the dplyr interface and the native interface to Spark, as well as trying machine learning techniques. Throughout the course, you'll explore the Million Song Dataset.

Syllabus

Light My Fire: Starting To Use Spark With dplyr Syntax
-In which you learn how Spark and R complement each other, how to get data to and from Spark, and how to manipulate Spark data frames using dplyr syntax.

Tools of the Trade: Advanced dplyr Usage
-In which you learn more about using the dplyr interface to Spark, including advanced field selection, calculating groupwise statistics, and joining data frames.

Going Native: Use The Native Interface to Manipulate Spark DataFrames
-In which you learn about Spark's machine learning data transformation features, and functionality for manipulating native DataFrames.

Case Study: Learning to be a Machine: Running Machine Learning Models on Spark
-A case study in which you learn to use sparklyr's machine learning routines, by predicting the year in which a song was released.

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Language

English
Certificate
Certificate Available
Date of Start
30th July, 2022
Price
Free Trial Available
Provider
DataCamp
Taught By

Richie Cotton
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Introduction to Spark with sparklyr in R

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