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Microsoft 365 Office All-in-One For Dummies ) (Paul McFedries)

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- Interesting Topics:
- A suite-wide reference organized around the main Microsoft 365 applications
- Word, Excel, and PowerPoint as the core tools for producing professional work
- Outlook and Teams for communication, scheduling, and virtual meetings
- OneDrive and SharePoint as the foundation for controlled file sharing
- Copilot and productivity shortcuts as aids to faster everyday work

- Read more: https://english.9natree.com/read/1394295057/


Microsoft 365 Office All-in-One For Dummies is a practical reference guide to the Microsoft 365 productivity ecosystem, written by technology author Paul McFedries. Framed in the familiar For Dummies instructional style, it gathers nine compact subject areas into one large-volume handbook rather than treating Office as a single application. Its scope includes the central desktop and web tools used for documents, spreadsheets, presentations, email, meetings, databases, file storage, and team collaboration. The book is designed to support readers who need usable procedures and explanations instead of a narrowly specialized treatment of one program. It begins from everyday tasks such as drafting a Word document, building an Excel worksheet, or arranging a Teams meeting, while also addressing features that improve speed and coordination across a shared Microsoft 365 environment. Attention to keyboard shortcuts, OneDrive, SharePoint, and Microsoft Copilot places the guide within the current cloud-based version of Office. Its purpose is to help both newcomers establish reliable working habits and experienced users locate updated capabilities across the suite.

Microsoft Office 365 For Beginners (Leonard J. Ledger)

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- Interesting Topics:
- A suite wide approach to everyday Microsoft 365 work
- Step by step instruction as a bridge from unfamiliar interfaces to usable skills
- Excel development from basic calculations to functions and macros
- Cloud files, communication, and collaboration through OneDrive, Outlook, and Teams
- Specialized tools for information capture, presentation, and structured records

- Read more: https://english.9natree.com/read/B0BGSNXP88/


Microsoft Office 365 For Beginners by Leonard J. Ledger is a practical software guide to the Microsoft 365 productivity suite. Presented as a crash course, it is aimed primarily at people who need usable skills across several connected applications rather than a deep specialist treatment of one program. The available descriptions identify coverage of Excel, Word, PowerPoint, OneNote, OneDrive, Outlook, Teams, and Access, progressing from basic operations toward functions, macros, shortcuts, and more advanced tasks. Its central purpose is to make routine digital work more manageable through step by step instruction, diagrams, exercises, and task oriented tips. The book belongs to the all in one computer reference genre, where breadth and immediate application matter as much as conceptual explanation. Its value therefore depends on helping readers recognize which application suits a given job, perform common actions reliably, and connect separate tools into an organized workflow. It is best understood as a broad introductory reference for contemporary office, study, and personal administration tasks.

Business Driven Information Systems (Paige Baltzan)

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- Interesting Topics:
- A Business First Framework for Information Systems Decisions
- Digital Transformation Links Decisions, Processes, and Artificial Intelligence
- Ebusiness and Digital Ecosystems Extend Value Beyond Firm Boundaries
- Information Security and Ethics Are Treated as Core Business Concerns
- Enterprise Applications, Data, and Project Management Turn Strategy into Execution

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Business Driven Information Systems by Paige Baltzan is an introductory management information systems textbook that frames technology as a means of executing business strategy rather than as an isolated technical subject. Intended primarily for undergraduate business education, it explains how organizations use information systems to make decisions, serve customers, coordinate operations, manage risk, and develop new forms of value. Its coverage spans business driven MIS, digital transformation, electronic business, ethics and information security, infrastructure, data and business intelligence, digital ecosystems, enterprise applications, and systems development and project management. The book uses a business first sequence: it begins with organizational needs and initiatives, then considers the technologies that can support them. This positioning makes it relevant to students outside information technology specialties, including those studying marketing, operations, finance, or management. Case-based and exercise-oriented learning materials reinforce the connection between concepts and managerial choices. Rather than treating IT knowledge as an end in itself, the text emphasizes informed participation in technology-related decisions across an organization.

AI Change Management Made Simple (Hassan Osman)

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- Interesting Topics:
- A Nine-Step Roadmap Turns AI Ambition into Managed Organizational Change
- Reducing Fear and Building Buy-In Are Treated as Core Implementation Tasks
- Tool-Independent Planning Keeps the Change Program Focused on Business Outcomes
- Templates and Checklists Convert Change Management into an Executable Project Plan
- Scaling Generative AI Requires Sustaining New Practices Beyond Early Pilots

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AI Change Management Made Simple is a concise business and management guide by Hassan Osman focused on the organizational, rather than purely technical, side of generative AI adoption. Aimed at managers, project leaders, and senior decision makers, it presents a nine-step framework for moving an organization from initial uncertainty to sustained use of AI in everyday work. The book positions AI implementation as a change-management challenge: employees need a clear reason for the change, practical support, credible safeguards, and visible evidence of value. Its framework is organized across three broad phases: preparing for adoption through awareness and alignment, implementing AI initiatives, and scaling and sustaining successful practices. Osman emphasizes a tool-independent approach, so the plan is intended to remain useful as specific platforms and models evolve. Ready-to-customize templates and checklists reinforce its practical orientation. The result is a short operational playbook for leaders who need to coordinate people, processes, communication, and governance while introducing generative AI.

The Data Model Resource Book, Volume 1 (Len Silverston)

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- Interesting Topics:
- Reusable enterprise models for recurring business functions
- Abstraction as a safeguard against brittle database design
- Moving from enterprise concepts to warehouse and data mart designs
- Sample data and implementation artifacts make relationships testable
- A validation reference rather than a substitute for requirements analysis

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The Data Model Resource Book, Volume 1 by Len Silverston is a practical reference work on enterprise data modeling. Rather than presenting data modeling only as notation, theory, or a sequence of analysis steps, it assembles reusable logical models and related designs for business functions that recur across organizations. Its scope includes areas such as products, orders, shipments, invoicing, accounting, budgeting, human resources, contacts, and projects. The revised edition also connects enterprise-oriented models to warehouse and data mart designs, including dimensional structures and SQL-oriented implementation material. The book is intended primarily for data modelers, architects, business analysts, and database designers who must convert broad business requirements into coherent data structures. Its central purpose is not to prescribe a universal database that can be installed unchanged. Instead, it offers carefully generalized starting points that readers can inspect, adapt, validate, and extend. By showing models at different levels of abstraction and using sample instance tables, Silverston makes the link between business concepts, logical relationships, and implementable database designs more concrete.

Data Stewardship (David Plotkin)

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- Interesting Topics:
- Data stewards turn governance principles into daily accountability
- Role design depends on separating ownership, stewardship, and technical work
- Implementation requires sponsorship, communication, and a phased operating model
- Data quality is managed through definitions, rules, issue handling, and control
- Training and performance measures make stewardship a sustainable capability

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David Plotkin’s Data Stewardship: An Actionable Guide to Effective Data Management and Data Governance is a practical professional guide to establishing and operating data stewardship within a broader governance program. Published in its second edition in 2020, it addresses the organizational work required to make data dependable, understandable, and fit for business use. Rather than treating governance as a purely technical initiative, the book centers the people who represent business domains and translate policies into routine decisions and controls. Plotkin explains the steward role, its relationship to data owners and governance bodies, and the activities through which definitions, quality expectations, rules, and issue resolution become operational. Its purpose is implementation: helping organizations gain sponsorship, communicate the value of stewardship, assign responsibilities, train participants, and assess results. The book therefore belongs less to abstract data-management theory than to the applied literature on governance operating models. It is particularly relevant where organizations have recognized data problems but need a workable structure for sustained accountability.

Principles of Agentic AI Governance (Ozwald Carter)

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- Interesting Topics:
- Agentic governance shifts attention from model outputs to delegated authority
- Use-case scoping and composite metrics make safety part of operational value
- Risk modeling and tabletop exercises test failures before agents reach production
- Least-privilege access and human escalation translate policy into enforceable controls
- Documentation and ongoing monitoring make governance defensible after deployment

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Principles of Agentic AI Governance: A Playbook for Managing AI Risk, Fairness, and Compliance is a practical business and technology guide by Ozwald Carter for organizations deploying autonomous AI agents. Its subject is not merely whether a model gives accurate or fair responses, but whether an agent has been granted authority to act safely across enterprise systems. The book addresses agents that can plan multistep work, call tools, trigger workflows, write files, send communications, and make decisions with limited human intervention. Carter positions this shift as a governance problem: conventional responsible AI controls remain necessary, yet they do not fully address the operational consequences of delegated machine action. Drawing on the book description, the playbook focuses on scoping agent use cases, modeling risks, prioritizing mitigations, conducting tabletop exercises, and documenting controls for legal and compliance review. It is aimed at leaders, architects, product managers, risk professionals, auditors, and boards seeking operational methods rather than a purely conceptual account of AI ethics.

Agile Retrospectives: Making Good Teams Great (Esther Derby)

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- Interesting Topics:
- The five-part structure turns reflection into a repeatable improvement cycle
- Frequent retrospectives make adaptation possible while the work is still underway
- Psychological safety and shared data prevent retrospectives from becoming blame sessions
- A cookbook of activities enables deliberate retrospective design instead of routine meetings
- Specific commitments and follow-up distinguish improvement from discussion

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Agile Retrospectives: Making Good Teams Great is a practical guide to the Agile retrospective, written by Esther Derby and Diana Larsen. First published in the mid-2000s, it addresses retrospectives as recurring team learning sessions rather than end-of-project postmortems. Its central purpose is to help software teams examine their recent work, understand the conditions behind outcomes, decide on useful changes, and verify whether those changes occur. The book is organized less as a linear theory of Agile management than as a facilitation handbook. It combines a five-part structure for planning a retrospective with a broad collection of exercises that facilitators can adapt to a team, iteration, or organizational setting. Derby and Larsen treat improvement as a social and operational activity: people need enough safety to speak honestly, enough shared evidence to avoid unsupported blame, and enough discipline to turn discussion into limited, observable action. The result is a durable reference for Scrum Masters, Agile coaches, team leads, and project professionals responsible for continuous improvement.

RMF ISSO (Bruce Brown)

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- Interesting Topics:
- Translating NIST SP 800-37 into an operational starting point
- Viewing the seven RMF steps as a continuing system lifecycle
- Defining the ISSO role through evidence, coordination, and accountability
- Connecting RMF work to NIST controls, assessments, and risk analysis
- Using foundational RMF knowledge for GRC practice and certification preparation

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RMF ISSO: Foundations Guide is a practical cybersecurity compliance primer by Bruce Brown, written for professionals who need to understand the NIST Risk Management Framework and the work of an Information System Security Officer. Rather than attempting to replace the underlying NIST publications, the book translates the framework in NIST SP 800-37 Revision 2 into more direct operational language. Its central purpose is to help readers connect formal risk management requirements with the day-to-day tasks involved in securing, documenting, assessing, and maintaining an information system. The guide is positioned as an entry point for new ISSOs, cybersecurity practitioners moving into governance, risk, and compliance work, and readers preparing for RMF-related responsibilities or certifications. It addresses the seven RMF steps as a lifecycle rather than a one-time authorization exercise, while also introducing the related roles of security controls, assessments, risk decisions, and continuous monitoring. The emphasis on where an ISSO should focus makes the book more role-specific than a general overview of federal cybersecurity standards.

Python for Everyone (Cay S. Horstmann)

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- Interesting Topics:
- Programming Fundamentals Through Incremental Problem Solving
- Control Flow as the Logic of Decisions and Repetition
- Functions and Modular Design for Reusable Programs
- Collections and Files as Models for Real Program Data
- Classes, Objects, and Error Handling as Program Structure

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Python for Everyone is an introductory programming textbook by Cay S. Horstmann and Rance D. Necaise, published in a third edition associated with ISBN 1119638291. It is designed for readers beginning programming rather than for experienced Python specialists. The book uses Python to introduce the central habits of computational problem solving: representing information, expressing decisions, repeating operations, decomposing work into functions, and organizing programs around data. Its subject is therefore broader than language syntax. Python serves as an accessible medium for learning how a program is planned, read, tested, and improved. The title belongs to the educational programming-text genre, combining explanations with worked code, exercises, and progressively more capable programming tasks. Its purpose is to establish a durable foundation for later work in software development, data-oriented programming, or computer science coursework. Readers are expected to move from small interactive scripts toward programs that use structured data, reusable abstractions, files, and fundamental object-oriented ideas.