Building Big Data Pipelines with PySpark + MongoDB + Bokeh
Build intelligent data pipelines with big data processing and machine learning technologies
Big Data,Business Intelligence
Lectures -25
Resources -1
Duration -5 hours
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Course Description
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 like Apache 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 it to become useful at the end. Once the data has gone through this pipeline we will be able to use it for building reports and dashboards for data analysis.
The data pipeline that we will build will comprise of data processing using PySpark, Predictive modelling using Spark’s MLlib machine learning library, and data analysis using MongoDB and Bokeh.
You will learn how to create data processing pipelines using PySpark
You will learn machine learning with geospatial data using the Spark MLlib library
You will learn data analysis using PySpark, MongoDB and Bokeh, inside of jupyter notebook
You will learn how to manipulate, clean and transform data using PySpark dataframes
You will learn basic Geo mapping
You will learn how to create dashboards
You will also learn how to create a lightweight server to serve Bokeh dashboards
Who this course is for:
- Python Developers at any level
- Developers at any level
- Machine Learning engineers at any level
- Data Scientists at any level
- The curious mind
- GIS Developers at any level
Goals
What will you learn in this course:
PySpark Programming
Data Analysis
Python and Bokeh
Data Transformation and Manipulation
Data Visualization
Big Data Machine Learning
Geo Mapping
Geospatial Machine Learning
Creating Dashboards
Prerequisites
What are the prerequisites for this course?
Basic Understanding of Python
Little or no understanding of GIS
Basic understanding of Programming concepts
Basic understanding of Data
Basic understanding of what Machine Learning is
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
- Introduction 09:30 09:30
Setup and Installations
6 Lectures
Data Processing with PySpark and MongoDB
4 Lectures
Machine Learning with PySpark and MLlib
3 Lectures
Data Visualization
6 Lectures
Creating the Data Pipeline Scripts
4 Lectures
Source Code and Notebook
1 Lectures
Instructor Details
Edwin Bomela
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