Data Storage and Warehouse Design
Foundations every pipeline depends on.
£279 programme
Mai Studies Original · Data Analytics
Cloud Data Engineering and AI Pipelines (GCP Professional-Aligned Study Support)
An independent Mai Studies study-support programme covering data engineering end to end: storage design, batch and streaming processing, pipeline orchestration, data quality, and preparing data for analytics and machine learning. It supports preparation for professional-level cloud data engineer certifications, a role blend for which reported UK salaries commonly range from GBP 95,000 to GBP 120,000; these are indicative market figures, not a guarantee. All material is original to Mai Studies. Mai Studies is not affiliated with or endorsed by Google or any certification body, no official exam content is reproduced, and completion does not grant any external certification.
10 weeks 50 guided hours advanced
This programme carries its own fee in addition to membership, and gives you twelve months to complete it. Your certificate is issued once the fee is paid.
What you will achieve
- Design storage and warehouse architectures for analytics workloads
- Build batch and streaming data pipelines with orchestration
- Engineer data quality, lineage and governance into pipelines
- Prepare features and pipelines for machine learning workloads
Entry guidance
- — Comfort with SQL and at least one programming language, ideally Python
- — Basic familiarity with cloud services
Original Mai Studies learning material. This is a professional completion programme, not a regulated qualification or university accreditation.
Programme syllabus
3 applied modules
8h
Processing Pipelines: Batch and Streaming
Transforming data at rest and in motion.
Machine Learning Data Engineering
Feeding models with production-grade data.