Big Data and Its Management for Proper Use in Business
A high-level, simplified, architectural, and design approach to managing large amounts of data for digital transformation
In this article, I provide a pragmatic architectural panorama of the Big Data management lifecycle in a digital transformation context, traversing its distinct phases and offering key definitions and critical solution considerations summarizing key points from my published books.
Digital transformation is a comprehensive overhaul of organizational processes, activities, and models through the strategic integration of digital technologies. It involves leveraging cutting-edge tech tools, data analytics, cloud computing, and emerging technologies to enhance efficiency, customer experiences, and business outcomes.
The goal is to adopt digital solutions and fundamentally reshape how a business operates, adapts to market dynamics, and delivers value, ensuring long-term relevance and competitiveness in a rapidly evolving digital landscape.
As a pivotal catalyst for artificial intelligence, cognitive computing, and various AI subsets like machine learning, deep learning, expert systems, and neural networks, Big Data solutions emerge as indispensable players in the global business…
