Building an Enterprise Data Lake Architecture: Emergence and Benefits— Part 1
Prelude
Embarking on our journey through the intricate landscape of data analytics, our focus today shifts to exploring the data lake. This realm holds immense significance in the realm of Big Data. This is a natural continuation of my recent post, “The Big Data Management Landscape” delving deeper into the intriguing concepts of data lakes and lakehouses.
In navigating this expansive subject, I draw upon my own experiences navigating the challenges and opportunities within the industry, coupled with the insights gained from my weekly explorations into various data-related topics. Amidst the sea of articles surrounding this topic, I’ve taken the plunge to share my perspective and insights, moulded by interactions with clients, fellow developers, and a continuous quest for knowledge.
So, let’s dive in!
The term “lake” typically conjures images of a large body of water surrounded by land. However, in our context, we steer clear of literal water bodies and instead navigate the cloud-based realm — a repository that houses data at varying quality levels, segmented into raw, processed, and modelled tiers also known as Bronze, Silver, and Gold — Medallion Architecture. While industry terminology may differ as regards naming conventions, the…
