Building Big Data Pipelines with R Sparklyr Power BI

Building Big Data Pipelines with R & Sparklyr & Power BI, available at $29.99, has an average rating of 4, with 19 lectures, based on 14 reviews, and has 96 subscribers.

You will learn about Power BI Data Visualization R Programming Data Analysis Big Data Machine Learning Geo Mapping with ArcGIS Maps for Power BI Geospatial Machine Learning Creating Dashboards This course is ideal for individuals who are R Developers at any level or Data Engineers at any level or Developers at any level or Machine Learning engineers at any level or Data Scientists at any level or GIS Developers at any level or The curious mind It is particularly useful for R Developers at any level or Data Engineers at any level or Developers at any level or Machine Learning engineers at any level or Data Scientists at any level or GIS Developers at any level or The curious mind.

Enroll now: Building Big Data Pipelines with R & Sparklyr & Power BI

Summary

Title: Building Big Data Pipelines with R & Sparklyr & Power BI

Price: $29.99

Average Rating: 4

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: R849.99

Quality Status: approved

Status: Live

What You Will Learn

Power BI Data Visualization

R Programming

Data Analysis

Big Data Machine Learning

Geo Mapping with ArcGIS Maps for Power BI

Geospatial Machine Learning

Creating Dashboards

Who Should Attend

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

Target Audiences

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

Welcome to the Building Big Data Pipelines with R & Sparklyr & PowerBI 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, 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.

Power BI Desktop is a powerful data visualization tool that lets you build advanced queries, models and reports. With Power BI Desktop, you can connect to multiple data sources and combine them into a data model. This data model lets you build visuals, and dashboards that you can share as reports with other people in your organization.

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 Power BI

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

You will learn how to create Geo Maps in Power BI Desktop

You will also learn how to create dashboards in Power BI Desktop

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Setup and Installations

Lecture 1: R Installation

Lecture 2: Installing Apache Spark

Lecture 3: Installing Java (Optional)

Lecture 4: Testing Apache Spark Installation

Lecture 5: Installing Sparklyr

Chapter 3: Building the Big Data ETL Pipeline with Sparklyr

Lecture 1: Data Extraction

Lecture 2: Data Transformation

Lecture 3: Data Exporting

Chapter 4: Big Data Machine Learning with Sparklyr

Lecture 1: Data Pre-processing

Lecture 2: Building the Predictive Model

Lecture 3: Creating the Prediction Dataset

Chapter 5: Data Visualization with Power BI

Lecture 1: Installing Power BI Desktop

Lecture 2: Loading the Data Sources

Lecture 3: Creating a Geo Map

Lecture 4: Creating a Donut Chart

Lecture 5: Create an Area Chart

Lecture 6: Create a Bar Chart

Chapter 6: Project Source Code

Lecture 1: Source Code

Instructors

EBISYS R&D
Big Data Engineering

Rating Distribution

1 stars: 0 votes

2 stars: 2 votes

3 stars: 3 votes

4 stars: 2 votes

5 stars: 7 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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