What Is De-Normalization in Data Modeling? De-Normalization is the deliberate transformation of normalized logical data model entities into physical tables with redundant or duplicate data structures. In other words, de-normalization …
As an accomplished professional with a Master Degree in Computer Science (Specialization in Software Engineering) and a PGD in Management Information Systems, over 20 years of hands-on experience in Information Technology, Data Governance, Data Management, and PDPL plus NCA Compliance. Expertise spans diverse sectors, including Aviation, Healthcare, Investment, Education, and Construction, allowing me to effectively bridge the gap between technical and business needs.
Leadership roles include Manager – Data Management (DMO), Manager Systems, Sr. Team Lead – Data Specialist, Manager Applications, and Adjunct Faculty Member among others. I am also deeply involved in applied research, focusing on Big Data Governance, Privacy, Security, and Compliance. My work has been published in prestigious international journals, offering valuable insights into solving industry challenges.
Possesses extensive expertise spanning a diverse range of platforms, tools, technologies, hardware, software, and operating systems, effectively leveraging this knowledge to address complex challenges in Data governance, security, privacy and compliance.
With 45+ professional certifications, including Certified Data Management Professional (CDMP), GDPR, CCPA, Certified Data Protection Officer (CDPO), ITIL, EC-Council Disaster Recovery Professional, AWS Cloud Certified, Oracle Technologies including e-Business, Databases, and Oracle Cloud Infrastructure (OCI). I have continually enhanced my expertise in the ever-evolving field of data privacy and security. My competencies also include Disaster Recovery, Business Continuity, Regulatory Compliance (GDPR, NCA, CCPA, NDMO), Data Architecture, Metadata Management, and more.
Numerous initiatives in Data Governance, Data Management, Data Privacy, Data Protection, ensuring compliance with international, and local standards such as NCA, GDPR, KSA PDPL, and NDMO.
Content Management – Terms Management
Introduction of Terms Management As per DAMA, Lists of terms management are just that: lists. They do not describe relationships between the terms. Pick lists, web pull-down lists, and lists …
Data Modeling – Identifiers / Keys
Types of Keys in Data Modeling Key or Identifier is a set of one or more attributes that uniquely defines an instance of an entity. Understanding Primary, Foreign, and Business …
Content Modeling – Controlled Vocabularies and Format
Controlled Vocabularies in Content Modeling The primary purpose of Vocabulary Control in Content Modeling is to achieve consistency in the description of content objects and to facilitate retrieval. A Controlled …
Data Modeling – Arity of Relationships
Arity of Relationships The number of entities in a relationship is the Arity of the relationship. The most common Arities are unary, binary, and ternary relationships. Unary (Recursive) Relationship in …
Data Masking – Data Subsetting
Key Data Masking Techniques for Privacy Protection Data Masking is the process of replacing, truncating, scrambling, or encrypting sensitive data with fictitious yet realistic-looking data. Data Mask limits sensitive data …
Content Modeling and Delivery Methods
Understanding Content Modeling in Digital Strategy Content Modeling is the process of converting logical content concepts into content types, attributes, and data types with relationships. It documents all the different …
Data-Driven Approach and Data-Driven Organization
Understanding the Data Driven Approach in Business Strategy A data-driven approach says to make strategic decisions based on facts rather than opinions. Decisions become smarter if it is based on …