Build a Manufacturing Data Platform: Master Advanced SQL (Recursive/Window), Python (Pandas), and AWS RDS Deployment.
InstructorMaruchin TechComidoc has tracked 4 coupons for this course since 2026, last checked 24h ago. On average, a new coupon appears roughly every 23 days.
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Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
AWS console interface for creating an Aurora and RDS database, displaying deployment option diagrams with the Single-AZ configuration selected.
A slide titled ER Diagrams displays four database tables including m_item and t_inventory, connected by arrows indicating one-to-many relationships.
A presentation slide defining 1st normal form with bullet points and a sample data table showing Toyota and Honda records with a red box highlighting duplicates.
A slide titled sqlite3 & SQLAlchemy presents a table comparing the two libraries by classification, SQL requirements, database support, and learning curve.
The curriculum includes complex query techniques such as Recursive CTEs for hierarchical structures and Window Functions for historical data analysis.
Instruction covers structural design through ER diagrams, normalization, and the implementation of composite primary and foreign keys.
The path moves from local development to cloud architecture, covering Amazon RDS setup and the separation of writer and reader instances.
The curriculum lacks explicit coding exercises, quizzes, or structured assignments to validate learning.
The curriculum aligns with the stated goals of manufacturing and supply chain professionals through its focus on BOM and inventory logic.
