9Natree

Agile Project Management with Azure DevOps (Joachim Rossberg)

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- Interesting Topics:
- Azure DevOps as the Operational Layer for Agile Delivery
- Choosing Between Scrum, Kanban, and SAFe Without Treating Them as Interchangeable
- Backlog Refinement and Work Item Design as Foundations of Reliable Planning
- Metrics and Reporting That Connect Visibility to Action
- Project Setup and Lifecycle Management Through a Fictional Implementation

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Agile Project Management with Azure DevOps: Concepts, Templates, and Metrics is a practical technology and project-management guide by Joachim Rossberg, published by Apress in 2019. It addresses the use of Microsoft Azure DevOps as an application lifecycle management and DevOps platform for teams working with Agile methods. Rather than presenting Agile solely as a set of principles, the book concentrates on translating practices into configured work items, backlogs, boards, dashboards, metrics, and reports. Its coverage includes foundational DevOps and Agile concepts, with attention to Scrum, Kanban, and the Scaled Agile Framework, or SAFe. It then moves toward the operational choices involved in setting up and running a project in Azure DevOps. The stated audience includes product owners, Agile leaders, Scrum masters, and software engineers, particularly those beginning to use the platform. The book also examines customization and extensibility, recognizing that standard templates and reporting may not fully fit every organization. Its purpose is therefore implementation-oriented: to help readers connect process design, daily delivery work, and transparent progress tracking within one toolset.

Microsoft Visio 2016 Step By Step (Scott A. Helmers)

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- Interesting Topics:
- Building a sound Visio foundation through templates, stencils, and shapes
- Creating connected diagrams with alignment, glue, and layout controls
- Applying Visio to flowcharts, swimlanes, BPMN, and organization charts
- Using formatting, themes, and page design to improve visual interpretation
- Extending diagrams with data, validation, collaboration, and publication

- Read more: https://english.9natree.com/read/B019G7U250/


Microsoft Visio 2016 Step By Step by Scott A. Helmers is a practical software-training guide for users who need to build, format, share, and manage diagrams in Microsoft Visio 2016. Published as part of the Microsoft Press Step by Step series, it uses a progressive instructional format: readers learn individual operations, review the skills involved, and apply them through practice tasks. The book addresses Visio as more than a drawing tool. Its coverage includes the mechanics of shapes, stencils, connectors, templates, layout, themes, and pages, as well as specialized diagram types such as flowcharts, swimlane diagrams, organization charts, and business process models. It also examines data-linked diagrams, validation, collaboration, and distribution options. Helmers writes from the perspective of a Visio specialist, emphasizing how diagram structure affects clarity, maintenance, and communication. The result is a broad reference and learning path for people who need to turn organizational information, processes, relationships, and plans into usable visual documents.

The Practice of Enterprise Architecture (Svyatoslav Kotusev)

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- Interesting Topics:
- Enterprise Architecture as a Bridge Between Business and IT
- A Research Based Challenge to Framework Centric Enterprise Architecture
- Architecture Artifacts Are Useful Only Through Their Decision Making Roles
- Enterprise Architecture Practice Includes Activities, Governance, and Organizational Context
- Business and IT Alignment Is an Ongoing Planning Capability, Not a Final State

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The Practice of Enterprise Architecture: A Modern Approach to Business and IT Alignment is a practitioner oriented enterprise architecture book by researcher Svyatoslav Kotusev. First published in 2019 and later issued in a second edition, it addresses enterprise architecture as a collection of business and IT descriptions used to support planning, communication, and technology related decision making. Its central purpose is corrective as well as instructional: it challenges simplified claims and formulaic framework driven advice that often dominate discussions of enterprise architecture. Rather than presenting architecture as a universal method or a purely technical blueprint, the book seeks to organize research based knowledge of how enterprise architecture is actually used in organizations. It explains the role of architectural artifacts, the activities surrounding their use, and their connection to business and IT alignment. Structured sequentially for readers without prior enterprise architecture knowledge, the book is relevant to practicing architects, architecture leaders, students, lecturers, and researchers who need a more grounded account of the field.

Artificial Intelligence Fundamentals for Business Leaders (I. Almeida)

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- Interesting Topics:
- AI literacy as a leadership responsibility rather than a technical specialty
- Data management as the operational foundation of useful AI
- Machine learning projects require choices from problem framing through evaluation
- Deep learning and generative AI are explained without collapsing them into all AI
- Responsible AI connects business adoption to governance, human review, and ethical limits

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Artificial Intelligence Fundamentals for Business Leaders: Up to Date With Generative AI is a nontechnical business guide by I. Almeida, published within the Byte-sized Learning series from Now Next Later AI. Its purpose is not to turn executives into data scientists or software engineers. Instead, it gives decision makers a working vocabulary for evaluating AI opportunities, risks, and organizational requirements. The book progresses from basic definitions and the evolution of AI to data management, machine learning, deep learning, model evaluation, and generative AI. This structure reflects an important practical premise: leaders need to understand the dependencies beneath visible AI products before approving investment or deployment. Almeida presents complex material in short, guided units and reinforces it through end of chapter questions and associated AI Academy learning resources. The stated emphasis on responsible, human-centered adoption also positions AI as a management and governance issue rather than merely a source of technical novelty. It is therefore best read as a foundation for informed participation in AI strategy discussions.

Relational Database Design and Implementation: Clearly Explained (Jan L. Harrington)

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- Interesting Topics:
- Requirements analysis connects business facts to durable data structures
- The relational model makes relationships visible through tables, keys, and constraints
- Normalization is presented as a method for preventing update anomalies
- SQL turns a conceptual schema into an operational database
- Codd’s rules and newer models frame the limits of relational design

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Relational Database Design and Implementation: Clearly Explained is a technical guide to the principles and practice of building relational databases. In its fourth edition, Jan L. Harrington combines database design theory with implementation concerns, moving from the basic database environment and requirements analysis toward SQL-based creation, population, and retrieval of data. Its central purpose is not merely to teach table syntax, but to show why structural decisions determine whether a database preserves accurate information, supports useful applications, and performs adequately as demands grow. The book addresses the relational data model, entities and relationships, normalization, database structure, performance considerations, and Codd’s rules for relational systems. It also broadens the discussion through object-relational approaches, CASE tools, and updated context involving cloud computing, big data, and alternatives to purely relational systems. Three design case studies support its practical orientation. Harrington writes primarily for students and IT or IS practitioners who need a structured, vendor-neutral foundation for evaluating and implementing database designs.

Business Dynamics (John Sterman)

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- Interesting Topics:
- Feedback loops explain why intuitive decisions can worsen performance
- Stocks, flows, and delays reveal the accumulation behind business behavior
- Simulation turns policy debates into testable dynamic experiments
- Behavioral decision making is part of the system, not external noise
- Model building requires empirical discipline, testing, and explicit boundaries

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Business Dynamics: Systems Thinking and Modeling for a Complex World is John D. Sterman’s extensive 2000 textbook on system dynamics, written for the analysis of managerial, economic, and public-policy problems. Rather than treating organizations as collections of separate departments and decisions, it examines them as feedback-rich systems whose behavior develops over time. Sterman combines systems-thinking concepts with formal stock-and-flow modeling, causal-loop diagrams, and computer simulation. The central purpose is to improve the way people diagnose persistent problems such as unstable sales, supply-chain disruption, failed improvement initiatives, weak forecasting, and unsustainable growth. The book is demanding in scope and technical depth, but it is not merely a mathematics or software manual. Its models are used to expose the assumptions behind everyday explanations, test alternative policies, and learn from simulated consequences before acting in the real world. The accompanying CD-ROM originally supported this practical orientation with system-dynamics software and model materials. Its lasting importance comes from joining rigorous modeling with a careful account of how managers reason, learn, and often misread complex feedback systems.

Electronic Commerce (Gary Schneider)

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- Interesting Topics:
- E-commerce is framed as a system of business models and technology
- Web selling and digital marketing require deliberate customer design
- Business-to-business commerce emphasizes process efficiency and coordination
- Security, payment systems, and trust are inseparable from transaction design
- Legal, ethical, tax, mobile, and social issues broaden the scope of e-commerce

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Electronic Commerce, 12th Edition, is a business and information-systems textbook by Gary P. Schneider that examines how organizations conduct commercial activity through internet-based technologies. Published by Cengage and organized around introduction, strategy, technology, and integration, it treats e-commerce as more than a storefront or payment button. The book links commercial decisions to the infrastructure, software, security controls, legal conditions, and organizational processes that make online transactions possible. Its scope includes web selling and marketing, business-to-business operations, social networking, mobile commerce, online auctions, web servers, commerce software, electronic payments, and security. Schneider uses real business examples and case-oriented learning features, including Learning From Failure segments, to connect concepts with operating choices and mistakes. The result is designed primarily for students who need a structured survey of the field, while remaining useful to managers who want a broad vocabulary for digital commerce. Because the 12th edition dates from 2016, its platform-specific examples should be supplemented with current sources, but its foundational framework remains relevant.

Systems Analysis and Design in a Changing World (John Satzinger)

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- Interesting Topics:
- A Dual Framework for Structured and Object-Oriented Development
- Use Cases as the Link Between Business Needs and System Behavior
- Requirements Analysis as a Safeguard Against Project Failure
- Iterative and Adaptive Project Management Within the Systems Life Cycle
- Case-Based Practice and Modeling Tools for Applied Learning

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Systems Analysis and Design in a Changing World is a systems-development textbook that explains how organizations investigate business needs, define information-system requirements, design solutions, and manage implementation. Associated with the seventh edition identified by ISBN 1305117204, it is designed primarily for university courses and early-career practitioners who need a structured view of the analyst role. Its distinguishing instructional choice is to cover both traditional structured analysis and object-oriented development rather than presenting them as mutually exclusive camps. The book gives particular weight to use case driven analysis, modeling with use case diagrams and descriptions, and the relationship between analysis activities and later design decisions. It also treats systems development as a managed project, including planning practices relevant to adaptive work. Case-based learning and recurring best-practices material connect diagrams and process terminology to the practical decisions analysts face. Although its references to Microsoft Project 2013 Professional and Microsoft Visio 2013 date the software-tool coverage, its central concerns remain foundational: understanding a business problem, eliciting reliable requirements, selecting an appropriate development approach, and communicating a design clearly.

Cloud Strategy (Gregor Hohpe)

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- Interesting Topics:
- Cloud Migration Is a Chain of Decisions Rather Than a One-Time Technology Project
- Enterprise Architecture Connects Business Intent, Organizational Change, and Technology Choices
- FROSST Defines Practical Attributes of a Cloud-Ready Application
- Trade-Offs Matter More Than Generic Best Practices and Cloud Slogans
- Cloud Adoption Requires Knowledge Sharing and New Organizational Habits

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Cloud Strategy: A Decision-based Approach to Successful Cloud Migration is a business and architecture guide by Gregor Hohpe for leaders navigating the organizational consequences of cloud adoption. Rather than treating migration as a technical transfer of servers, applications, and data, the book frames it as a series of consequential decisions involving economics, operating models, risk, governance, skills, and architecture. Its purpose is not to prescribe a universal destination or vendor-specific blueprint. Instead, it helps readers identify trade-offs, ask better questions, and make choices that fit their organization’s context. This positioning reflects Hohpe’s broader Architect Elevator approach, which emphasizes communication between technical teams and senior decision makers. The book is therefore most concerned with the reasoning behind cloud choices: why an organization is moving, what capabilities it needs, and how leaders can avoid allowing fashionable terminology or implementation detail to substitute for strategy. It combines enterprise-architecture perspective with practical principles for preparing applications and organizations for cloud environments.

Data Mining: Concepts and Techniques (Jiawei Han)

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- Interesting Topics:
- Knowledge Discovery Connects Raw Data to Defensible Analytical Results
- Frequent Patterns and Associations Are Treated as Search and Evaluation Problems
- Classification and Prediction Emphasize Generalization Rather Than Training Accuracy
- Clustering and Outlier Detection Support Discovery Without Predefined Labels
- Complex Data and Deep Learning Extend the Framework Beyond Tables

- Read more: https://english.9natree.com/read/0128117605/


Data Mining: Concepts and Techniques is a technical textbook and reference work on knowledge discovery from data, written by Jiawei Han with Jian Pei and Hanghang Tong in its fourth edition. Published in the Morgan Kaufmann Series in Data Management Systems, it explains how large, varied data collections can be transformed into patterns, predictive models, and usable analytical knowledge. The book treats data mining as a full process rather than a collection of isolated algorithms: data must be prepared, represented, evaluated, and interpreted before discovered regularities can support decisions. Its coverage moves from data preprocessing, data warehousing, and multidimensional analysis to frequent pattern mining, classification, clustering, outlier detection, and newer machine learning approaches including deep learning. Attention to computational feasibility is central throughout, reflecting the challenges posed by large scale and complex data. The result is not a lightweight software manual, but a structured account of the concepts, methods, and tradeoffs that underpin modern data mining practice and research.