Building Big Data Pipelines With R & Sparklyr & Tableau

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