Using R for Big Data with Spark [2016, ENG] torrent

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Using R for Big Data with Spark
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Год выпуска: 2016
Производитель: O'Reilly Media
Сайт производителя: shop.oreilly.com/product/0636920056621.do
Продолжительность: 02:20:02
Тип раздаваемого материала: Видеоурок
Язык: Английский
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Описание: Аналитики, знакомые с данными R научитесь использовать мощь Спарк, распределенных вычислений и облако хранения в этом курсе, который показывает вам, как использовать свои навыки R в большой среде данных.

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Data analysts familiar with R will learn to leverage the power of Spark, distributed computing and cloud storage in this course that shows you how to use your R skills in a big data environment.

You'll learn to create Spark clusters on the Amazon Web Services (AWS) platform; perform cluster based data modeling using Gaussian generalized linear models, binomial generalized linear models, Naive Bayes, and K-means modeling; access data from S3 Spark DataFrames and other formats like CSV, Json, and HDFS; and do cluster based data manipulation operations with tools like SparkR and SparkSQL. By course end, you'll be capable of working with massive data sets not possible on a single computer. This hands-on class requires each learner to set-up their own extremely low-cost, easily terminated AWS account.

Discover how to use your R skills in a big data distributed cloud computing cluster environment
Gain hands-on experience setting up Spark clusters on Amazon's AWS cloud services platform
Understand how to control a cloud instance on AWS using SSH or PuTTY
Explore basic distributed modeling techniques like GLM, Naive Bayes, and K-means
Learn to do cloud based data manipulation and processing using SparkR and SparkSQL
Understand how to access data from the CSV, Json, HDFS, and S3 formats
Manuel Amunategui is a data science practitioner, consultant, teacher, and author with 16+ years of data science experience. A former quantitative analyst for a Wall Street brokerage firm, he now serves as the lead data scientist for Providence Health & Services in Portland, Oregon. In his free time, Manuel does competitive data modeling on Kaggle.com, CrowdANALYTIX.com, Datascience.net, and DrivenData.org.
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Introduction
Welcome to the Course 04m 21s

About the Author 01m 08s

How To Access Your Working Files 01m 15s

Creating Clusters on Amazon Web Services
Creating an AWS Launching Instance 09m 39s

Connecting to AWS Instance using SSH 06m 18s

Connecting to AWS Instance using PuTTY 08m 37s

Starting Spark Clusters Part 1 09m 01s

Starting Spark Clusters Part 2 09m 55s

Terminate Your Clusters 00m 58s

Data and Modeling Basics
Data Basics 08m 33s

Modeling with Gaussian Generalized Linear Models 11m 19s

Modeling with Binomial Generalized Linear Models 09m 33s

Naive Bayes and K-Means Modeling 09m 14s

Data Sources and Data Manipulation
Bigger Data and S3 07m 27s

Accessing S3 Spark Dataframes 04m 57s

SparkR Dataframe Operations 11m 01s

SparkSQL 05m 16s

Various
Brief Look at HDFS 10m 59s

Brief Look at Databricks Community Edition 08m 19s

Conclusion
Wrap Up and Thank You 02m 02s
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Файлы примеров: отсутствуют
Формат видео: MP4
Видео : AVC, 1280x720 (16:9), 29.970 (29970/1000) fps, ~631 Kbps avg, 0.023 bit/pixel
Аудио: 44.1 KHz, AAC LC, 2 ch, ~128 Kbps
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