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.

  • Introduction
  • Python Installation
  • Installing Third Party Libraries
  • Installing Apache Spark
  • Installing Java (Optional)
  • Testing Apache Spark Installation
  • Installing MongoDB
  • Installing NoSQL Booster for MongoDB
  • Integrating PySpark with Jupyter Notebook
  • Data Extraction
  • Data Transformation
  • Loading Data into MongoDB
  • Data Pre-processing
  • Building the Predictive Model
  • Creating the Prediction Dataset
  • Loading the Data Sources from MongoDB
  • Creating a Map Plot
  • Creating a Bar Chart
  • Creating a Magnitude Plot
  • Creating a Grid Plot
  • Installing Visual Studio Code
  • Creating the PySpark ETL Script
  • Creating the Machine Learning Script
  • Creating the Dashboard Server

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