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 ArchitectureA collection of 7 posts
Learn about designing scalable, secure, and efficient data systems that support business needs.
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.
Hello, all data lovers! Today, I want to talk about a subject that is absolutely crucial for…
Youāre designing the next big e-commerce platform, and everything looks greatāuntil your database starts slowing down š.
Data is everywhere. Data powers customer management in databases, speeds up websites through caching, and fuels decision-making in executive dashboards.