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The Zachman Framework is a thinking tool, and not a methodology. Its abstract nature has led to the proliferation of some myths that hinder its
What makes a business analyst exceptional? Although skill competency is important, the business analyst mindset plays a crucial role in the success of any business
Blockchain is a combination of technology and processes used to allow the recording of transactions and their metadata permanently and with validation. It is an
Every organization, in every industry, should adopt a data-literate culture. What does that mean? How can data literacy be socialized in existing organizations? In many
Data mapping (source-to-target mapping) is an essential activity for all data integration, business intelligence, and analytics initiatives Introduction Data mapping is among the most important
Metadata-based extraction, transformation, and loading (ETL) can support a new approach to any organization’s data integration and development practices Introduction Traditional extraction, transformation and loading
With cyber-crime on the rise and sophistication levels escalating, educating people against the most common attacks (phishing, vishing, etc.) is essential. Introduction Phishing is a
Relationship-building, career management, professional networking, continuing education, career development are all essential components to a successful professional career Introduction Professional networks play a vital role
Development of a data-centric enterprise architecture requires a new approach to data management, one that respects business requirements. Moving toward a data-centric enterprise architecture also
Every Data Governance program needs a team to coordinate and manage its activities, and a leader to oversee the team’s responsibilities and guide its interactions
Data Lineage is an essential component in all business metadata management. Often overlooked, the value of data lineage can be seen in many areas. There
Data extraction, transformation, and loading processes enable many activities in information technology projects. Understanding the concepts and practices of ETL is essential for all data
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