Introduction

Leveraging available data (Big Data) has become a significant focus for most companies in the last decades. In the last few years, the advent of Cloud Computing has democratized access to more powerful IT resources, thus eliminating the costs and hassles of managing the necessary infrastructure required in an on-premises data center.

Cloud Computing also helps companies use their data efficiently, lowering engineering costs thanks to its managed services’ powerfulness.

It also promotes the use of on-demand infrastructures, making it easier to re-think, re-engineer, and re-architect a data lake to explore new use cases.

Being data a focal point for business decisions, managing it efficiently becomes a priority.

Among many ways to do so, the data lake concept, a scalable, low-cost, centralized data repository for storing raw data from various sources, has grown to success. It enables users to store data as-is without structuring it first to run different analytics types, gaining insights, and guiding more accurate strategic business decisions.

#aws-lake-formation #data-lake #aws-glue #amazon-s3 #aws