With its promise to transform data management and analytics by providing access to all data across the enterprise, the data lake is quickly becoming more than just an industry buzzword.
Unlike traditional data warehouses, which have frequently resulted in lengthy implementation time, inflexibility and high costs, the data lake accommodates any type of data and stores it cheaply, in very large volumes, on commodity hardware. Business users and IT professionals alike have long been tasked with the challenge of preserving and collecting data from outdated computing systems, often referred to as legacy applications. Legacy applications that have exceeded their useful life can be expensive to maintain, often requiring dated versions of software and hardware to maintain support.
Author: Sean Martin