Name: Building Big Data Pipelines with PySpark MongoDB and Bokeh
Price: 25 GBP

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Curriculum

Overview:

Embark on an enriching journey with our online course, “Building Big Data Pipelines with PySpark, MongoDB, and Bokeh,” designed to equip you with the skills to handle large-scale data processing and visualization efficiently. Through this course, you’ll harness the power of PySpark for distributed computing, MongoDB for data storage, and Bokeh for interactive data visualization. Our hands-on approach ensures you gain practical experience in building robust data pipelines, enabling you to tackle real-world big data challenges effectively.

Interactive video lectures by industry experts
Instant e-certificate and hard copy dispatch by next working day
Fully online, interactive course with Professional voice-over
Developed by qualified first aid professionals
Self paced learning and laptop, tablet, smartphone friendly
24/7 Learning Assistance
Discounts on bulk purchases

Main Course Features:

Comprehensive coverage of PySpark fundamentals
Hands-on projects to build end-to-end data pipelines
Integration of MongoDB for scalable data storage
Utilization of Bokeh for interactive and dynamic data visualization
Best practices for optimizing big data workflows

Who Should Take This Course:

Data engineers aspiring to work with big data technologies
Software developers interested in distributed computing and data processing
Data analysts seeking to enhance their skills in handling large-scale data sets

Learning Outcomes:

Master PySpark for distributed data processing
Build scalable data pipelines using PySpark and MongoDB
Create interactive visualizations with Bokeh
Implement best practices for big data pipeline development
Handle large volumes of data efficiently
Perform data analysis and transformation at scale
Optimize data processing workflows for performance
Interpret and present insights derived from big data analyses

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Assessment

At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.

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