Building Big Data Pipelines with SparkR & PowerBI & MongoDB
Building Big Data Pipelines with SparkR & PowerBI & MongoDB, available at $19.99, has an average rating of 4.25, with 25 lectures, based on 4 reviews, and has 31 subscribers.
You will learn about SparkR Programming Big Data Tools for R Power BI Data Visualization Data Analysis Big Data Machine Learning Geo Mapping with Power BI Geospatial Machine Learning Building 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 SparkR & PowerBI & MongoDB
Summary
Title: Building Big Data Pipelines with SparkR & PowerBI & MongoDB
Price: $19.99
Average Rating: 4.25
Number of Lectures: 25
Number of Published Lectures: 25
Number of Curriculum Items: 25
Number of Published Curriculum Objects: 25
Original Price: R799.99
Quality Status: approved
Status: Live
What You Will Learn
- SparkR Programming
- Big Data Tools for R
- Power BI Data Visualization
- Data Analysis
- Big Data Machine Learning
- Geo Mapping with Power BI
- Geospatial Machine Learning
- Building 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 SparkR & PowerBI & MongoDB 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.
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.
SparkRis an R package that provides a light-weight frontend to use Apache Spark from R. SparkR provides a distributed data frame implementation that supports operations like selection, filtering, aggregation etc. (similar to R data frames, dplyr) but on large datasets. SparkR also supports distributed machine learning using MLlib.
MongoDBis a document-oriented NoSQLdatabase, used for high volume data storage. It stores data in JSON like format called documents, and does not use row/column tables. The document model maps to the objects in your application code, making the data easy to work with.
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You will learn how to create big data processing pipelines using R and MongoDB
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You will learn machine learning with geospatial data using the SparkR and the MLlib library
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You will learn data analysis using SparkR, R and PowerBI
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You will learn how to manipulate, clean and transform data using Spark dataframes
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You will learn how to create Geo Maps in PowerBI Desktop
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You will also learn how to create dashboards in PowerBI 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 MongoDB
Lecture 6: Installing NoSQL Booster for MongoDB
Lecture 7: Installing SparkR
Lecture 8: Configuring SparkR
Chapter 3: Building the Big Data ETL Pipeline with SparkR
Lecture 1: Data Extraction
Lecture 2: Data Transformation 1
Lecture 3: Data Transformation 2
Lecture 4: Data Exporting
Chapter 4: Big Data Machine Learning with SparkR and MLlib
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: Installing MongoDB ODBC Drivers
Lecture 3: Creating a System DSN for MongoDB
Lecture 4: Loading the Data Sources
Lecture 5: Creating a Geo Map
Lecture 6: Creating a Donut Chart
Lecture 7: Creating a Area Chart
Lecture 8: Creating a Stacked Bar Chart
Chapter 6: Project Source Code
Lecture 1: Source Code
Instructors
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EBISYS R&D
Big Data Engineering
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 2 votes
- 5 stars: 1 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?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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