Another exquisit release
Lynda.R.Programming.in.Data.Science.High.Velocity.Data-XQZT
Title: R Programming in Data Science: High Velocity Data
Publisher: Lynda
Size: 219M (228722815 B)
Files: 5F
Date: 09/13/2018
Course #: 672261
Type: Big Data
Published: 9/12/2018
Modified: N/A
URL: www.lynda.com/R-tutorials/R-Programming-Data-Science-High-Velocity-Data/672261-2.html
Author: Mark Niemann-Ross
Duration: 1h 21m
Skill: Intermediate
Exer/Code: [X]
Installation:
Unpack that shit, run that shit
Notes:
High-velocity data—such as the information that springs from
Twitter and IoT devices—comes barreling in at a speed beyond
normal comprehension, demanding high-performance from both
hardware and software. While it might not initially appear up to
the challenge, the R programming language can be revved up to
operate with high-velocity data. Written close to the metal by
sitting directly on top of the C programming language, R
provides a rich set of data structures and concepts. This course
drills down into efficient R programming, providing practical
strategies that can help you work your mojo on
high-velocity data.c/brec/breInstructor Mark Niemann-Ross begins by
sharing a framework for understanding the different types of
high-velocity data. He then covers how to use R to acquire
high-velocity data, as well as how to leverage profiling tools and
optimize R code for use with high-velocity data. He wraps up by
exploring how to use R to present data, including how to use
Shiny—an R package that allows you to build web apps straight from
R—for interactive dashboards.