Building an Enterprise Data Lake Architecture: Design, & Planning — Part 2
Introduction
As organizations increasingly embrace data-driven decision-making, a well-designed data lake strategy becomes essential. In the first chapter, “Emergence and Benefits — Part 1,” we explored the data lake's historical evolution and current industry applications. In this second chapter, we’ll explore the practicalities of implementing and structuring a data lake to improve data management and break down data silos within an organization. Over the next three parts, I’ll share key insights and considerations to guide you in designing a robust enterprise data lake, sparking your imagination and equipping you with the foundational concepts needed to build an efficient, secure, and scalable architecture.
Before I begin, I’m aware that many articles have already covered this topic since we all have unique world views – I decided to share my wins, struggles & experiences.
there is no definitive guide to building a data lake and each scenario encountered is unique in terms of ingestion, processing, storage, consumption by business users and governance.
