AWS Architecture Blog
Tag: Big Data
Let’s Architect! Modern data architectures
Data is the fuel for AI; modern data is even more important for generative AI and advanced data analytics, producing more accurate, relevant, and impactful results. Modern data comes in various forms: real-time, unstructured, or user-generated. Each form requires a different solution. AWS’s data journey began with Amazon Simple Storage Service (Amazon S3) in 2006, […]
Let’s Architect! Architecting a data mesh
Data architectures were mainly designed around technologies rather than business domains in the past. This changed in 2019, when Zhamak Dehghani introduced the data mesh. Data mesh is an application of the Domain-Driven-Design (DDD) principles to data architectures: Data is organized into data domains and the data is the product that the team owns and […]
Let’s Architect! Modern data architectures
With the rapid growth in data coming from data platforms and applications, and the continuous improvements in state-of-the-art machine learning algorithms, data are becoming key assets for companies. Modern data architectures include data mesh—a recent style that represents a paradigm shift, in which data is treated as a product and data architectures are designed around […]
AWS Architecture Monthly Magazine: Data Lakes
A data lake is the fastest way to get answers from all your data to all your users. It’s a centralized repository that allows you to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data, and run different types of analytics—from […]