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 design steps in data migration, data integration, and business intelligence projects. Mapping source to target
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 (ETL) software is a computer programming tool that enables a developer to create custom ETL
With cyber-crime on the rise and sophistication levels escalating, educating people against the most common attacks is essential Introduction Phishing is a technique that is used to get confidential data from individuals and companies into the hands of criminals with
Relationship-building, career management, professional networking, career development are all essential components to a successful professional career Introduction Professional networks play a vital role in career management and development. As data science evolves, data management professionals are tasked with not only
Development of a data-centric enterprise architecture requires a new approach to data management, one that respects business requirements. Introduction Moving toward a data-centric enterprise architecture also affects relationships between data stakeholders and requires rethinking the data management organization and rules.
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 with the rest of the organization Introduction Many organizations struggle with the design and implementation
Data Lineage is an essential component in all business metadata management. Often overlooked, the value of data lineage can be seen in many areas. Introduction There is a growing interest in data lineage for many reasons, across all areas of
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 and technology professionals IntroductionData extract, transform, load (ETL) is a process of copying data from
Every organization needs a business architecture – the blueprint that explains the structure of the enterprise capabilities, business processes, and information exchanges, connecting strategy with execution Introduction A Business Architecture describes the business processes and functions needed to support an
Every effective enterprise data strategy should consist of an analysis of the organization’s people, processes, technology, and organizational structure – and follow proven implementation steps. Introduction Along with understanding the concepts of a data strategy, it is important to know
