Last updated 7/2020MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.29 GB | Duration: 3h 22m
RSpark and MongoDB for Big Data Processing and Predictive Modeling including Visualization with PowerBI Desktop What you'll 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 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 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.SparkR is 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.MongoDB is a document-oriented NoSQL database, 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.You will learn how to create big data processing pipelines using R and MongoDBYou will learn machine learning with geospatial data using the SparkR and the MLlib libraryYou will learn data analysis using SparkR, R and PowerBIYou will learn how to manipulate, clean and transform data using Spark dataframesYou will learn how to create Geo Maps in PowerBI DesktopYou will also learn how to create dashboards in PowerBI 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 MongoDB Lecture 7 Installing NoSQL Booster for MongoDB Lecture 8 Installing SparkR Lecture 9 Configuring SparkR Section 3: Building the Big Data ETL Pipeline with SparkR Lecture 10 Data Extraction Lecture 11 Data Transformation 1 Lecture 12 Data Transformation 2 Lecture 13 Data Exporting Section 4: Big Data Machine Learning with SparkR and MLlib Lecture 14 Data Pre-processing Lecture 15 Building the Predictive Model Lecture 16 Creating the Prediction Dataset Section 5: Data Visualization with Power BI Lecture 17 Installing Power BI Desktop Lecture 18 Installing MongoDB ODBC Drivers Lecture 19 Creating a System DSN for MongoDB Lecture 20 Loading the Data Sources Lecture 21 Creating a Geo Map Lecture 22 Creating a Donut Chart Lecture 23 Creating a Area Chart Lecture 24 Creating a Stacked Bar Chart Section 6: Project Source Code Lecture 25 Source Code R Developers at any level,Data Eeers at any level,Developers at any level,Machine Learning eeers at any level,Data Scientists at any level,GIS Developers at any level,The curious mind HomePage:
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