New Era of modern data lakes

Cloud computing has radically altered the way businesses operate and is leading us into a new technological era. The leading cloud service providers that dominate the global cloud industry are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

A modern data lake enables organizations to efficiently store, manage, access, and generate value out of data stored in both on premise storage infrastructures as well as in the cloud, allowing organizations to apply next-generation data analytics and ML technologies to generate value from this data. The cost of bad data quality can be counted in lost opportunities, bad decisions, and the time it takes to hunt down, cleanse, and correct bad errors. Collaborative data management, and the tools to correct errors at the point of origin, are the clear ways to ensure data quality for everyone who needs it.

The old data lake terminology supposes to have many challenges where value of the data is not realized such as —

1. They lead to multiple copies of raw, transformed and structured data has been created and no single source of truth
2. Data silos from traditional data warehouse not handling unstructured data, additional systems needed
3. They are built primarily to offer an expensive storage. So, analytics performances slowly and they have…