Building Big Data Pipelines With R & Sparklyr & Tableau
Last updated 4/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.04 GB | Duration: 2h 55m
R for Big Data Processing and Predictive Modeling including Visualization with Tableau Desktop
What you'll learn
Tableau Data Visualization
R Programming
Data Analysis
Big Data Machine Learning
Geo Mapping with Tableau
Geospatial Machine Learning
Creating Dashboards
Requirements
Basic Understanding of R Programming
Little or no understanding of GIS
Basic understanding of Programming concepts
Basic understanding of Data
Basic understanding of what Machine Learning is
Description
Welcome to the Building Big Data Pipelines with R & Sparklyr & Tableau course. In this course we will be creating a big data analytics solution using big data technologies for R.In our use case we will be working with raw earthquake data and we will be applying big data processing techniques to extract transform and load the data into usable datasets. Once we have processed and cleaned the data, we will use it as a data source for building predictive analytics and visualizations.Tableau Desktop is a powerful data visualization tool, used for big data analysis and visualization. It allows for data blending, real-time analysis and collaboration of data. No programming is needed for Tableau Desktop, which makes it a very easy and powerful tool to create dashboards apps and reports.Sparklyr is an open-source library that is used for processing big data in R, by providing an interface between R and Apache Spark. It allows you to take advantage of Spark's ability to process and analyze large datasets in a distributed and interactive manner. It also provides interfaces to Spark's distributed machine learning algorithms and much more.You will learn how to create big data processing pipelines using RYou will learn machine learning with geospatial data using the Sparklyr libraryYou will learn data analysis using Sparklyr, R and TableauYou will learn how to manipulate, clean and transform data using Spark dataframesYou will learn how to create Geo Maps in Tableau DesktopYou will also learn how to create dashboards in Tableau Desktop
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Setup and Installations
Lecture 2 R Installation
Lecture 3 Installing Apache Spark
Lecture 4 Installing Java (Optional)
Lecture 5 Testing Apache Spark Installation
Lecture 6 Installing Sparklyr
Section 3: Building the Big Data ETL Pipeline with Sparklyr
Lecture 7 Data Extraction
Lecture 8 Data Transformation
Lecture 9 Data Exporting
Section 4: Big Data Machine Learning with Sparklyr
Lecture 10 Data Pre-processing
Lecture 11 Building the Predictive Model
Lecture 12 Creating the Prediction Dataset
Section 5: Data Visualization with Tableau
Lecture 13 Installing Tableau
Lecture 14 Loading the Data Sources
Lecture 15 Creating a Geo Map
Lecture 16 Creating a Bar Chart
Lecture 17 Creating a Donut Chart
Lecture 18 Creating the Magnitude Chart
Lecture 19 Creating the Dashboard
Section 6: Project Source Code
Lecture 20 Source Code
R Developers at any level,Data Engineers at any level,Developers at any level,Machine Learning engineers at any level,Data Scientists at any level,GIS Developers at any level,The curious mind
Homepage
https://www.udemy.com/course/building-big-data-pipelines-with-r-sparklyr-tableau/
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