Martin Fowler

It is centralized, monolithic and domain agnostic aka data lake.

Almost every client I work with is either planning or building their 3rd generation data and intelligence platform, while admitting the failures of the past generations:

The third and current generation data platforms are more or less similar to the previous generation, with a modern twist towards (a) streaming for real-time data availability with architectures such as Kappa, (b) unifying the batch and stream processing for data transformation with frameworks such as Apache Beam, as well as (c) fully embracing cloud based managed services for storage, data pipeline execution engines and machine learning platforms. It is evident that the third generation data platform is addressing some of the gaps of the previous generations such as real-time data analytics, as well as reducing the cost of managing big data infrastructure. However it suffers from many of the underlying characteristics that led to the

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