Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Building Big Data Pipelines With PySpark MongoDB And Bokeh course has been specially designed to help learners gain a good command of Building Big Data Pipelines With PySpark MongoDB And Bokeh, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Building Big Data Pipelines With PySpark MongoDB And Bokeh course, you will gain both practical and theoretical understanding of Building Big Data Pipelines With PySpark MongoDB And Bokeh that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
Learning outcome
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.
Course Curriculum
Course Curriculum
Section 01: Introduction
Introduction
00:10:00
Section 02: Setup And Installations
Python Installation
00:03:00
Installing Third Party Libraries
00:03:00
Installing Apache Spark
00:12:00
Installing Java (Optional)
00:05:00
Testing Apache Spark Installation
00:06:00
Installing MongoDB
00:04:00
Installing NoSQL Booster for MongoDB
00:07:00
Section 03: Data Processing With PySpark And MongoDB
Integrating PySpark with Jupyter Notebook
00:05:00
Data Extraction
00:19:00
Data Transformation
00:15:00
Loading Data into MongoDB
00:13:00
Section 04: Machine Learning With PySpark And MLlib
Data Pre-processing
00:19:00
Building the Predictive Model
00:12:00
Creating the Prediction Dataset
00:08:00
Section 05: Data Visualization
Loading the Data Sources from MongoDB
00:17:00
Creating a Map Plot
00:33:00
Creating a Bar Chart
00:09:00
Creating a Magnitude Plot
00:15:00
Creating a Grid Plot
00:09:00
Section 06: Creating The Data Pipeline Scripts
Installing Visual Studio Code
00:05:00
Creating the PySpark ETL Script
00:24:00
Creating the Machine Learning Script
00:30:00
Creating the Dashboard Server
00:21:00
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