Data Science and Platforms
How to Deal With Big Data for Artificial Intelligence
An architectural approach to Big Data Management — Chapter 12
Purpose of This Chapter
As a key enabler of artificial intelligence, cognitive computing, and subsets of AI, e.g., machine learning, deep learning, expert systems, and neural networks, Big Data solutions are critical business-focused domains at the global level.
Therefore, understanding the Big Data lifecycle and architecting Big Data solutions with pragmatic rigor is a compelling capability for AI professionals and AI business stakeholders.
This article provides a pragmatic architectural overview of the Big Data management lifecycle covering the distinct phases and essential definitions with critical solution considerations based on my architectural experience acquired from many successful and failed projects.
I learned that architecting Big Data solutions pragmatically with rigor can substantially contribute to the delivery of quality AI and Cognitive solutions, especially in enterprise modernization and digital transformation programs.
These transformative programs are empowered by Big Data and AI, integrated with other emerging technology…
