Today, the data engineering landscape has changed dramatically. With the advent of cloud-native solutions, the way data is created, managed, and used has significantly changed. Platforms like AWS and Databricks demonstrate that data engineering goes beyond the boundaries of traditional infrastructure. Instead of focusing on servers and storage, the emphasis is now on building robust pipelines, facilitating analysis, and preparing data for the next wave of AI advancements. Cloud-native data engineering isn't just about increasing data storage, it's about building scalable and adaptable pipelines that prepare us for an AI-powered future. you can check more info about Cloud Data Engineering Services for your project. Understanding Cloud-native Data Engineering Cloud-native data engineering harnesses the power of cloud services to build data pipelines capable of efficiently managing large volumes of data. These pipelines are crafted to be scalable, resilient, and easy to ha...