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Building Big Data Pipelines with PySpark MongoDB and Bokeh

£149 £24.99
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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. 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.

We guarantee that all our online courses will meet or exceed your expectations. If you are not fully satisfied with a course - for any reason at all - simply request a full refund. We guarantee no hassles. That's our promise to you.

Go ahead and order with confidence!

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Course Curriculum

Section 01: Introduction
Introduction
Section 02: Setup and Installations
Python Installation
Installing Third Party Libraries
Installing Apache Spark
Installing Java (Optional)
Testing Apache Spark Installation
Installing MongoDB
Installing NoSQL Booster for MongoDB
Section 03: Data Processing with PySpark and MongoDB
Integrating PySpark with Jupyter Notebook
Data Extraction
Data Transformation
Loading Data into MongoDB
Section 04: Machine Learning with PySpark and MLlib
Data Pre-processing
Building the Predictive Model
Creating the Prediction Dataset
Section 05: Data Visualization
Loading the Data Sources from MongoDB
Creating a Map Plot
Creating a Bar Chart
Creating a Magnitude Plot
Creating a Grid Plot
Section 06: Creating the Data Pipeline Scripts
Installing Visual Studio Code
Creating the PySpark ETL Script
Creating the Machine Learning Script
Creating the Dashboard Server