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Data Science and Machine Learning

Building Big Data Pipelines with PySpark MongoDB and Bokeh

Overview: Embark on an enriching journey with our online course, "Building Big Data Pipelines with PySpark, MongoDB, and Bokeh," designed to equip yo...

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24 Lesson

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5hr 4min

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4 students enrolled

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.
Course Content
24 Lectures 5hr 4min
  • ImgPython Installation

  • ImgInstalling Third Party Libraries

  • ImgInstalling Apache Spark

  • ImgInstalling Java (Optional)

  • ImgTesting Apache Spark Installation

  • ImgInstalling MongoDB

  • ImgInstalling NoSQL Booster for MongoDB

  • ImgIntegrating PySpark with Jupyter Notebook

  • ImgData Extraction

  • ImgData Transformation

  • ImgLoading Data into MongoDB

  • ImgData Pre-processing

  • ImgBuilding the Predictive Model

  • ImgCreating the Prediction Dataset

  • ImgLoading the Data Sources from MongoDB

  • ImgCreating a Map Plot

  • ImgCreating a Bar Chart

  • ImgCreating a Magnitude Plot

  • ImgCreating a Grid Plot

  • ImgInstalling Visual Studio Code

  • ImgCreating the PySpark ETL Script

  • ImgCreating the Machine Learning Script

  • ImgCreating the Dashboard Server