Building Big Data Pipelines with PySpark MongoDB and Bokeh
Building Big Data Pipelines with PySpark MongoDB and Bokeh
- Interactive video lectures by industry experts
- Developed by qualified first aid professionals
- Instant e-certificate and hard copy dispatch by next working day
- Fully online, interactive course with audio voiceover
- 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
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
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
- Care home and school staff
- Workplace compliance officers
- Anyone needing PAT testing skills for career growth
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. 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
Introduction 
00:10:00
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
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
Data Pre-processing 00:19:00 Building the Predictive Model 00:12:00 Creating the Prediction Dataset 00:08:00
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
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
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