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    Building Big Data Pipelines With R & Sparklyr & Tableau

    Posted By: ELK1nG
    Building Big Data Pipelines With R & Sparklyr & Tableau

    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