Every day, yourĀ data lake ingests 20 million client records. If you store all these records, you will accumulate around 7.3 billion records per year (and Jeff Bezos will definitely love charging you for that š¤!).
Data EngineeringA collection of 5 posts
Master the ETL/ELT processes, data pipelines, and modern data stack technologies powering AI and analytics.
Cause youāre a sky, full of stars, Iām gonna give my heart.” š¶ Today weāll be exploring the galaxies and the stars of data modeling.
At its core,Ā normalizationĀ follows the principle ofĀ Donāt Repeat Yourself (DRY). This ensures that each piece of data is stored only once, reducingĀ redundancyĀ and improvingĀ data integrity.
Data modeling consists of three key layers, each playing a unique role in the lifecycle of data architecture.
Youāre designing the next big e-commerce platform, and everything looks greatāuntil your database starts slowing down š.