Building Big Data Pipelines with PySpark MongoDB and Bokeh

Last updated: July 17, 2023
|
Language: English
|
Flexible Schedule

Unlock the power of big data with our Building Big Data Pipelines with PySpark, MongoDB, and Bokeh course. This course offers comprehensive training on handling massive volumes of data using advanced tools and methods. With a focus on data processing, machine learning, and visualisation, the course is perfect for those eager to upgrade their skills in big data analytics, data science, or data engineering.

 

Learn about the vast world of big data with our expertly structured curriculum. Starting with setup and installations, dive into data processing with PySpark and MongoDB. Discover machine learning techniques with PySpark and MLlib. Understand the captivating realm of data visualisation and create data pipeline scripts to manage and interpret complex data efficiently. With source code included, you get to learn by doing, strengthening your conceptual understanding and practical skills.

 

The Building Big Data Pipelines with PySpark, MongoDB, and Bokeh course empowers you to navigate the landscape of big data confidently. Whether you’re a data analyst seeking new insights or a data engineer looking to streamline data management processes, this course equips you with the skills to drive decision-making and shape the future of your business. Start your big data journey with us and gain a competitive edge in your career!

 

Learning Outcome:

Upon completion of the Building Big Data Pipelines with PySpark MongoDB and Bokeh course, you should be able to:

  • Understand and apply PySpark for big data processing.

  • Implement MongoDB for flexible document modelling.

  • Use Bokeh for effective data visualisation.

  • Gain hands-on experience in creating data pipeline scripts.

  • Explore machine learning techniques with PySpark and MLlib.

  • Gain a competitive edge with practical understanding of big data analytics.

 

Who is this course for:

  • Beginners aspiring to delve into data science.

  • Professionals looking to upgrade their big data skills.

  • Machine learning enthusiasts interested in pipeline construction.

  • Individuals keen on gaining proficiency in PySpark, MongoDB, and Bokeh.

 

Certification

After studying the course materials of the Building Big Data Pipelines with PySpark MongoDB and Bokeh course, there will be a written assignment test which you can take either during or at the end of the course. After passing the test, you will have a range of certification options. A CPD Accredited PDF Certificate costs £4.99, while a CPD Accredited Hardcopy Certificate is £8.00. We also offer transcript services. A PDF Transcript costs £4.99, and a Hardcopy Transcript is £9.99. Select according to your needs, and we assure timely delivery of your chosen certificate.

 

Career Path:

Our course will help you to pursue a range of career paths, such as:

  • Data Scientist: £35,000-£80,000

  • Big Data Engineer: £40,000-£90,000

  • Machine Learning Engineer: £45,000-£100,000

  • Data Analyst: £30,000-£65,000

  • Database Administrator: £32,000-£75,000

  • Business Intelligence Developer: £40,000-£85,000

 

Requirements

This professionally designed Building Big Data Pipelines with PySpark MongoDB and Bokeh course does not require you to have any prior qualifications or experience. It is open to everyone, and you can access the course from anywhere at any time. Just enrol and start learning!

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
Source Code
Source Code and Notebook 00:00:00
Building Big Data Pipelines with PySpark MongoDB and Bokeh

Exclusive Deal! 0% Off, Today Only!

Add to Cart
🔥 10 Units sold in last 6 Hours
cpdy aoht Qlc

This course includes:

  • level Skill Level
  • course_duration Duration
    5 hours, 4 minutes
  • studentsStudents
    22 Students
top