Introduction to Spark with sparklyr in R

Name: Introduction to Spark with sparklyr in R
Brand: Careervira
Price: 74 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

4 hours

Course Description

R was designed to make data analysis code easy, understandable, and quickly. Apache Spark is optimized for large-scale data analysis. Sparklyr allows the creation of Spark cluster-compatible R codes. You get the best of both. This course will show you how to use Spark DataFrames both with the native Spark interface as well as the dplyr interface. Machine learning techniques are also covered. The course will also cover the Million Song Dataset.

Course Overview

Virtual Labs

International Faculty

Case Based Learning

Post Course Interactions

Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

What You Will Learn

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

Course Content

Expand all sections

Module 1: Light My Fire: Starting To Use Spark With dplyr Syntax

Module 2: Tools of the Trade: Advanced dplyr Usage

Module 3: Going Native: Use The Native Interface to Manipulate Spark DataFrames

Module 4: Case Study: Learning to be a Machine: Running Machine Learning Models on Spark

Course Instructors

Richie Cotton

Curriculum Architect at DataCamp

Richie is a Learning Solutions Architect at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R package...

Course Reviews

Average Rating Based on 3 reviews

5.0

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