Itil Certification Guide Your Comprehensive Handbook For Foundation Managing Professional And Advanced Practices
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ITIL Certification Guide: Your Comprehensive Handbook for Foundation, Managing Professional, and Advanced Practices
This guide provides a thorough introduction to the ITIL framework, covering essential concepts, terminology, and practices for both the ITIL 4 Foundation and Managing Professional certifications. It also delves into advanced practices that enhance service management capabilities, making it an invaluable resource for individuals looking to understand IT service management principles and advance their careers. Advanced Practices Overview:This section covers key practices such as Change Enablement, Incident Management, Problem Management, and Service Level Management. It provides insights into their roles in enhancing service quality and operational efficiency.
ITIL® 4 Essentials: Your essential guide for the ITIL 4 Foundation exam and beyond, second edition
ITIL® 4 Essentials contains everything you need to know to pass the ITIL 4 Foundation Certificate, plus more. It covers practices and concepts that are not addressed as part of the Foundation syllabus, making it ideal for newly qualified practitioners. This second edition has been updated to align with amendments to the ITIL® 4 Foundation syllabus.
DAMA-DMBOK
Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.