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What is Implementing Data Lakes in Enterprises about?

This document discusses the implementation of Data Lakes (DL) in large enterprises, emphasizing their role alongside existing Data Warehouses (DW) to meet growing consumer needs. It outlines the importance of DL for storing both structured and unstructured data, enabling advanced analytics and machine learning, and highlights the benefits of cloud-based DL solutions. Key considerations for architecture, phases of implementation, and examples from major cloud providers like AWS, Google Cloud, and Azure are a

Author

Anusha Ragavendran

Language

EN