Building Big Data Pipelines with R & Sparklyr & Tableau
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Building Big Data Pipelines with R & Sparklyr & Tableau

R for Big Data Processing and Predictive Modeling including Visualization with Tableau Desktop
0.0 (0 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4 students enrolled
Created by EBISYS R&D
Last updated 4/2020
English
English [Auto]
Current price: $29.99 Original price: $49.99 Discount: 40% off
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This course includes
  • 3 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Tableau Data Visualization
  • R Programming
  • Data Analysis
  • Big Data Machine Learning
  • Geo Mapping with Tableau
  • Geospatial Machine Learning
  • Creating Dashboards
Course content
Expand all 20 lectures 02:55:33
+ Setup and Installations
5 lectures 30:54
Installing Apache Spark
12:06
Installing Java (Optional)
04:35
Testing Apache Spark Installation
02:32
Installing Sparklyr
06:31
+ Building the Big Data ETL Pipeline with Sparklyr
3 lectures 30:44
Data Extraction
05:43
Data Transformation
17:35
Data Exporting
07:26
+ Big Data Machine Learning with Sparklyr
3 lectures 36:39
Data Pre-processing
17:34
Building the Predictive Model
09:30
Creating the Prediction Dataset
09:35
+ Data Visualization with Tableau
7 lectures 01:05:43
Installing Tableau
01:44
Loading the Data Sources
05:09
Creating a Geo Map
12:14
Creating a Bar Chart
08:14
Creating a Donut Chart
15:01
Creating the Magnitude Chart
08:44
Creating the Dashboard
14:37
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 R

  • You will learn machine learning with geospatial data using the Sparklyr library

  • You will learn data analysis using Sparklyr, R and Tableau

  • You will learn how to manipulate, clean and transform data using Spark dataframes

  • You will learn how to create Geo Maps in Tableau Desktop

  • You will also learn how to create dashboards in Tableau Desktop

Who this course is for:
  • 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