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Data Engineering and Architecture

Learn to design, build, and manage scalable data pipelines, warehouses, and architectures using modern tools and robust enterprise-level best practices
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2 months to complete
at 2-3 hours a week

Overview

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Learning outcomes

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Course content

1

Data Pipeline Design

2

Data Warehouse Modeling

3

Scalable Storage Architecture

4

Real-Time Streaming Integration

5

Data Governance Framework

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
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Course access
Self-paced
Learn on your time
Certificate
Included in fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I'm blown away by the 'Data Engineering and Architecture' course at Stanmore School of Business! As a data enthusiast from the United States, I was looking to upskill and transition into a more senior role. This course exceeded my expectations in every way. The comprehensive curriculum covered everything from data warehousing to cloud-based architectures, and the instructors were top-notch. I particularly appreciated the hands-on labs and real-world case studies, which helped me develop practical skills in designing and implementing scalable data systems. The course materials were of the highest quality, and I loved how they were constantly updated to reflect industry trends. Overall, I'm extremely satisfied with my learning experience and would highly recommend this course to anyone looking to break into data engineering or take their skills to the next level.

LH
Leila Hassan
EG · Course completed

I recently completed the 'Data Engineering and Architecture' course at Stanmore School of Business, and I must say it was a great experience. As a working professional in Egypt, I was looking for a course that would help me enhance my skills in data engineering and architecture. The course content was well-structured and covered all the key topics, including data modeling, ETL, and data governance. I found the course materials to be relevant and of good quality, although some of the labs could be improved. One of the things that I liked about the course was the flexibility it offered - I could complete the coursework at my own pace, which was great given my busy schedule. Overall, I'm happy with what I learned, and I would recommend this course to others who are looking to improve their data engineering skills.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'Data Engineering and Architecture' course at Stanmore School of Business was absolutely amazing! As a data scientist from Japan, I was looking for a course that would help me develop my skills in data engineering and architecture, and this course delivered. The instructors were knowledgeable and enthusiastic, and the course content was comprehensive and up-to-date. I loved the hands-on approach, which included lots of labs and projects that helped me develop practical skills in designing and implementing data systems. The course materials were also top-notch, with lots of real-world examples and case studies that helped me understand the concepts better. What really impressed me, though, was the support from the instructors and the community - they were always available to answer my questions and provide feedback on my work. Overall, I'm extremely satisfied with my learning experience, and I would highly recommend this course to anyone looking to develop their skills in data engineering and architecture.

RS
Rafaela Silva
BR · Course completed

I've just completed the 'Data Engineering and Architecture' course at Stanmore School of Business, and I have to say it was a great learning experience. As a data analyst from Brazil, I was looking for a course that would help me develop my skills in data engineering and architecture, and this course definitely helped me achieve my goals. The course content was well-structured and covered all the key topics, including data warehousing, ETL, and data governance. I found the course materials to be relevant and of good quality, and the instructors were knowledgeable and supportive. One of the things that I liked about the course was the focus on practical skills - the labs and projects helped me develop hands-on experience in designing and implementing data systems. Overall, I'm happy with what I learned, and I would recommend this course to others who are looking to improve their data engineering skills. The only thing that could be improved is the discussion forum - sometimes it took a while to get feedback from the instructors or other students.





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Recently updated!

April 2026