Building Big Data Pipelines with PySpark + MongoDB + Bokeh

Welcome to the ​Building Big Data Pipelines with PySpark & MongoDB & Bokeh​ course. Inthis course we will be building an intelligent data pipeline using big data technologies likeApache Spark and MongoDB. We will be building an ETLP pipeline, ETLP stands for Extract Transform Load and Predict. These are the different stages of the data pipeline that our data has to go through in order for itto become useful at the end. Once the data has gone through this pipeline we will be able touse it for building reports and dashboards for data analysis. The data pipeline that we will build will comprise of data processing using PySpark, Predictivemodelling using Spark's MLlib machine learning library, and data analysis using MongoDB andBokeh. You will learn how to create data processing pipelines using PySparkYou will learn machine learning with geospatial data using the Spark MLlib libraryYou will learn data analysis using PySpark, MongoDB and Bokeh, inside of jupyter notebookYou will learn how to manipulate, clean and transform data using PySpark dataframesYou will learn basic Geo mappingYou will learn how to create dashboardsYou will also learn how to create a lightweight server to serve Bokeh dashboards