- Contenu:
- 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. Instructor 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.
Informations sur le titre
Titre: R Programming in Data Science: High Velocity Data
Auteur: Niemann-ross, Mark
Éditeur: LinkedIn
Catégorie: eLearning, Software & Programmieren, IT
3532
Exemplaires
3532
Disponible
0
Réservation
Durée du prêt: 180 jours