Exam Ref DP-900 Microsoft Azure Data Fundamentals

By:   Nicola Farquharson
Imprint:   Addison Wesley
Country of Publication:   United States
Edition:   2nd edition
Dimensions:   Height: 230mm,  Width: 180mm,  Spine: 8mm
Weight:   318g
ISBN:   9780138261900
ISBN 10:   0138261903
Series:   Exam Ref
Pages:   176
Publication Date:   15 May 2024
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

NICOLA FARQUHARSON has more than two decades of experience in networking infrastructure and Microsoft technologies, such as artificial intelligence, Microsoft SQL, Microsoft Power BI, data science, Dynamics 365, machine learning, Microsoft Azure, and Azure DevOps. Her extensive background in these technologies ensures a deep and comprehensive coverage of the key concepts necessary for the Microsoft DP-900 certification exam. Her career journey includes roles as a Microsoft technical trainer and professor, focusing on data, machine learning, and artificial intelligence. These roles have equipped Nicola with valuable insights into the skills and knowledge required in these rapidly advancing fields. Her experience as a cybersecurity/infrastructure senior analyst and IT consultant has also given her a profound understanding of data security and risk management, vital elements in contemporary data management. Nicola’s dedication to professional growth is reflected in her acquisition of multiple Microsoft technology certifications, including Microsoft AI Engineer, Microsoft Data Engineer, Microsoft DevOps Engineer Expert, Microsoft Teams Administrator Associate, Azure Security Engineer Associate, Microsoft 365 Enterprise Administrator, and Microsoft Cloud Solution Expert. These qualifications underscore her commitment to staying updated with the latest technological advancements. This second edition of Exam Ref DP-900 Microsoft Azure Data Fundamentals aims to provide readers with a thorough understanding of Azure data fundamentals, preparing them for the DP-900 exam and enhancing their career prospects in the fields of cloud and data technologies.