Complete Guide to production-ready AWS Data Lake
Note: For non-members, this article is also available at https://progressstory.com/tech/devops/complete-guide-and-hands-on-to-aws-data-lake/
A data lake is 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 dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions.
Data in this universe is increasing drastically and it’s estimated that the global datasphere will grow to 175 zettabytes by 2025. Around 90% of the data is mostly unstructured or semi-structured data. There are many solutions to store and process structured data but when it comes to any form of the data be it structured/semi-structured or unstructured, then the data lake comes into the picture.
A data lake maintains data in its native formats and handles the three Vs of big data —…
