Moreover, managing this amount of data requires several procedures to avoid leaks and security breaches, which means you need to set up access management policies, enable encryption of sensitive data and manage keys for it. Data usually comes from diverse sources and should be carefully monitored. 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.īuilding a data lake is not an easy task: it involves numerous manual steps, making the process complex and, more importantly, very time-consuming. 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.īeing data a focal point for business decisions, managing it efficiently becomes a priority.Īmong 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.

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

Leveraging available data (Big Data) has become a significant focus for most companies in the last decades.

Amazon data lake personal backup