Introduction Most enterprises do not face a single data problem; they manage dozens. A customer record lives in the CRM. Order history sits in an ERP. Support tickets reside in …
Data Mesh Explained: Why Centralized Data Teams Are Losing the Scalability Race
Introduction Ask any data leader what slows their team down, and you will hear a familiar story. Business units need a new dataset. They file a request. The central data …
AI Memory: How Intelligent Systems Remember, Retrieve, and Learn Over Time
Introduction The explosive rise of Large Language Models (LLMs) has transformed how modern enterprises process information, automate complex workflows, and interface with data. Yet, beneath the seamless conversational capabilities of …
AI Memory: How Intelligent Systems Remember, Retrieve, and Learn Over Time
Introduction The explosive rise of Large Language Models (LLMs) has transformed how modern enterprises process information, automate complex workflows, and interface with data. Yet, beneath the seamless conversational capabilities of …
Professional Journey – A Momentary Look
Career Snapshot Master’s degree in computer science with Specialization in Software Engineering and Earned PGD in Management Information System. Accumulated 20+ years’ Information Technology, Data Governance, Data Management, and Compliance …
Data Strategy, Architecture, & Models
Introduction Of Data Strategy Architecture Data Strategy focuses on aligning data management with business goals and provides a comprehensive plan. Whereas Data Architecture focuses on the technical framework and design …
Oracle Autonomous Database
What is Oracle’s Autonomous Database? Oracle says, Autonomous Database is a mission-critical, converged database that runs transactional and analytic workloads. It automatically scales, tunes, patches, and secures all the workloads …
Big Data – Metrics
Metrices for Data Quality Metrics are vital to any management process; they not only quantify activity but can define the variation between what is observed and what is desired. Big …
Big Data – Readiness and Risk Assessment
Big Data Readiness Assessment As with any development project, the implementation of a Big Data or Data Science initiative should align with real business needs. Assess organizational readiness in relation …
Big Data – Visualization Tools
Data Visualization Tools Traditional tools in data visualization have both a data and a graphical component. Advanced visualization and discovery tools use in-memory architecture to allow users to interact with …