Develop Big Data Pipelines with R, Sparklyr & Power BI

What's included:

• Eligibility to earn a CPD & QLS endorsed certificate.
• Fully Online Recorded Class
• 24/7 & Lifetime Access
• Online support
• No hidden fees

The Develop Big Data Pipelines course is designed for analytical minds eager to understand how vast data systems flow, integrate, and transform. It introduces you to modern frameworks and languages that help you Develop Big Data Pipelines efficiently—from raw data ingestion to visual insights. Using R, Sparklyr, and Power BI, this course demonstrates how to manage distributed data environments, streamline processing, and produce meaningful analytics outcomes. You’ll explore the structured journey of data transformation and how to ensure each stage of your pipeline supports sound, data-driven decisions.

Learning to Develop Big Data Pipelines means gaining control over the data lifecycle. This course focuses on using R’s analytical power, Sparklyr’s scalable computation, and Power BI’s visual storytelling to turn data chaos into clarity. Whether you’re building data systems for business intelligence or preparing for advanced analytics roles, you’ll learn the architecture, logic, and performance principles needed to Develop Big Data Pipelines that deliver reliability and insight.

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Learning Outcomes

• Understand the architecture required to Develop Big Data Pipelines effectively.
• Learn how to use R and Sparklyr to Develop Big Data Pipelines.
• Explore Power BI visualisation techniques to Develop Big Data Pipelines.
• Manage and optimise data flows as you Develop Big Data Pipelines.
• Apply statistical modelling methods while you Develop Big Data Pipelines.

Who is this course for?

• Data analysts looking to Develop Big Data Pipelines for scalable insights.
• IT professionals aiming to Develop Big Data Pipelines for data-driven projects.
• Students wanting to Develop Big Data Pipelines using R and Sparklyr.
• Business intelligence specialists wishing to Develop Big Data Pipelines visually.
• Developers curious about how to Develop Big Data Pipelines efficiently.

Career Path

• Data Engineer – Average salary: £55,000 per year.
• Big Data Analyst – Average salary: £48,000 per year.
• Business Intelligence Developer – Average salary: £45,000 per year.
• Machine Learning Engineer – Average salary: £60,000 per year.
• Data Scientist – Average salary: £58,000 per year.
• Database Administrator – Average salary: £42,000 per year.

Certification

Upon successful completion of the course and its assessment, you can obtain the certificate for a small additional fee. You can check the certificate fees and related details from the following link: https://www.oneeducation.org.uk/certificate/. You may also request a hard copy certificate, which will be posted to your preferred address for a small additional fee.