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
Who this course is for:
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
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
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