Technics publications (Mehr als 1.900 Ergebnisse)

Paperback. Zustand: Fair. Every day in every workplace around the world, people are working with people. What if we had the tools to work better together and build better relationships? RelateAbility is the resource to show you how. Improve your work environment by learning the science around RelateAbility and the TeamRelate Model. Better equip and empower those you influence by learning to more purposefully communicate and purposefully engage with them. RelateAbility is a skill that can be learned and developed. TeamRelate is a behavioral model as well as an app and starts where the traditional personality assessment world leaves off. Once you understand your communication styles along with your core values, the book explores how these relate to others in your world, both at work and at home. Improving our ability to relate to others is the concept of RelateAbility, where we explore the 1:1 dynamic and team dynamic and how to improve each. In light of these concepts, we also explore conflict and engagement in the workforce and bring together the latest industry research on both. Finally we explore Trust, the foundation of any relationship and how improving our RelateAbility increases the trust in our relationships. The concepts in RelateAbility helps build high performing teams in any organizational context and help make work life better for individual contributors and leaders alike.…

Paperback. Zustand: Good. Every day in every workplace around the world, people are working with people. What if we had the tools to work better together and build better relationships? RelateAbility is the resource to show you how. Improve your work environment by learning the science around RelateAbility and the TeamRelate Model. Better equip and empower those you influence by learning to more purposefully communicate and purposefully engage with them. RelateAbility is a skill that can be learned and developed. TeamRelate is a behavioral model as well as an app and starts where the traditional personality assessment world leaves off. Once you understand your communication styles along with your core values, the book explores how these relate to others in your world, both at work and at home. Improving our ability to relate to others is the concept of RelateAbility, where we explore the 1:1 dynamic and team dynamic and how to improve each. In light of these concepts, we also explore conflict and engagement in the workforce and bring together the latest industry research on both. Finally we explore Trust, the foundation of any relationship and how improving our RelateAbility increases the trust in our relationships. The concepts in RelateAbility helps build high performing teams in any organizational context and help make work life better for individual contributors and leaders alike.…

Paperback. Zustand: Very Good. Every day in every workplace around the world, people are working with people. What if we had the tools to work better together and build better relationships? RelateAbility is the resource to show you how. Improve your work environment by learning the science around RelateAbility and the TeamRelate Model. Better equip and empower those you influence by learning to more purposefully communicate and purposefully engage with them. RelateAbility is a skill that can be learned and developed. TeamRelate is a behavioral model as well as an app and starts where the traditional personality assessment world leaves off. Once you understand your communication styles along with your core values, the book explores how these relate to others in your world, both at work and at home. Improving our ability to relate to others is the concept of RelateAbility, where we explore the 1:1 dynamic and team dynamic and how to improve each. In light of these concepts, we also explore conflict and engagement in the workforce and bring together the latest industry research on both. Finally we explore Trust, the foundation of any relationship and how improving our RelateAbility increases the trust in our relationships. The concepts in RelateAbility helps build high performing teams in any organizational context and help make work life better for individual contributors and leaders alike.…

Paperback. Zustand: Good. Imagine spending a day with top analytical leaders and asking any question you want. In this book, Wayne Eckerson illustrates analytical best practices by weaving his perspective with commentary from seven directors of analytics who unveil their secrets of success. With an innovative flair, Eckerson tackles a complex subject with clarity and insight. Each of the book's 20 chapters is a stand-alone essay on an analytical topic, yet collectively they form a concise methodology about how to implement a successful analytics program.…

Paperback. Zustand: Very Good. Imagine spending a day with top analytical leaders and asking any question you want. In this book, Wayne Eckerson illustrates analytical best practices by weaving his perspective with commentary from seven directors of analytics who unveil their secrets of success. With an innovative flair, Eckerson tackles a complex subject with clarity and insight. Each of the book's 20 chapters is a stand-alone essay on an analytical topic, yet collectively they form a concise methodology about how to implement a successful analytics program. …

Paperback. Zustand: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Fair. Learn how big data and other sources of information can be transformed into valuable knowledge -- knowledge that can create incredible competitive advantage to propel a business toward market leadership. Learn through examples and experience exactly how to pick projects and build analytics teams that deliver results. Know the ethical and privacy issues, and apply the three-part litmus test of context, permission, and accuracy. Without a doubt, data and analytics are the new source of competitive advantage, but how do executives go from hype to action? Thats the objective of this book -- to assist executives in making the right investments in the right place and at the right time in order to reap the full benefits of data analytics.…

Paperback. Zustand: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Very Good. What's the Return on Investment (ROI) on data management? Sound like an impossible question to answer? Not if you read this book and learn the value-added approach to managing enterprise resources and assets. This book defines the five interrelated best practices that comprise data management, and shows you how by example to successfully communicate data management ROI to senior management. The 17 cases we share will help you to identify opportunities to introduce data management into the strategic conversations that occur in the C-suite. You will gain a new perspective regarding the stewardship of your data assets and insulate your operations from the chaos, losses and risks that result from traditional approaches to technological projects. And you will learn how to protect yourself from legal challenges resulting from out-sourced information technology projects gone badly due to incorrect project sequencing and focus. With the emerging acceptance and adoption of revised performance standards, your organisation will be better prepared to face the coming big data deluge! The book contains four chapters: Chapter 1 gives a somewhat unique perspective to the practice of leveraging data. We describe the motivations and delineate the specific challenges preventing most organisations from making substantial progress in this area; Chapter 2 presents 11 cases where leveraging data has produced positive financial results that can be presented in language of immediate interest to C-level executives. To the degree possible, we have quantified the effect that data management has had in terms that will be meaningful to them also; Chapter 3 describes five instances taken from the authors' experiences with various governmental defence departments. The lessons in this section however can be equally applied to many non-profit and non-defence governmental organisations; Chapter 4 speaks specifically to the interaction of data management practices, in terms of both information technology projects and legal responsibilities. Reading it can help your organisation to avoid a number of perils, stay out of court and better vet contractors, experts and other helpers who play a role in organisation information technology development.…

Paperback. Zustand: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardback. Zustand: Very Good. Learn essential techniques from data warehouse legend Bill Inmon on how to build the reporting environment your business needs now! Answers for many valuable business questions hide in text. How well can your existing reporting environment extract the necessary text from email, spreadsheets, and documents, and put it in a useful format for analytics and reporting? Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book will prepare you to successfully implement an unstructured data warehouse and, through clear explanations, examples, and case studies, you will learn new techniques and tips to successfully obtain and analyse text. Master these ten objectives: Build an unstructured data warehouse using the 11-step approach; Integrate text and describe it in terms of homogeneity, relevance, medium, volume, and structure; Overcome challenges including blather, the Tower of Babel, and lack of natural relationships; Avoid the Data Junkyard and combat the "Spider's Web"; Reuse techniques perfected in the traditional data warehouse and Data Warehouse 2.0, including iterative development; Apply essential techniques for textual Extract, Transform, and Load (ETL) such as phrase recognition, stop word filtering, and synonym replacement; Design the Document Inventory system and link unstructured text to structured data; Leverage indexes for efficient text analysis and taxonomies for useful external categorisation; Manage large volumes of data using advanced techniques such as backward pointers; Evaluate technology choices suitable for unstructured data processing, such as data warehouse appliances.…

Paperback. Zustand: Good. In an era where data is hailed as the new oil and AI as the engine driving innovation, navigating the disruptive landscape of technology can be daunting for data leaders. AI & The Data Revolution, a groundbreaking book by Laura Madsen, offers pragmatic advice and strategic insights tailored for data leaders in today's fast-paced world. As digital transformation revolutionizes industries across the globe, businesses are increasingly turning to data-driven decision-making and AI-powered solutions to gain a competitive edge. However, with this rapid evolution comes many challenges and complexities that demand a fresh perspective and actionable strategies. AI & The Data Revolution serves as a beacon of guidance amidst this turbulence, providing data leaders with a comprehensive roadmap to effectively harness the power of AI while mitigating risks and maximizing opportunities. Drawing upon Madsen's years of experience in the field, this book offers a blend of theoretical frameworks and real-world case studies, equipping readers with the knowledge and tools needed to thrive in the age of AI disruption. Key themes explored include: Understanding the fundamentals of AI and its implications for data leadership. Navigating the ethical and regulatory landscape surrounding AI and data privacy. Creating a sustainable model for technology disruption in your organization. Addressing the technical debt that will hold back innovation. Creating an AI framework with dynamic innovation in mind. Step-by-step guide on how to get started. Unlike traditional textbooks or theoretical treatises, AI & The Data Revolution is designed to be a practical guidebook for data leaders, offering actionable insights and best practices that can be implemented immediately. Whether you're a seasoned executive leading a data-driven organization or a newcomer looking to navigate the complexities of AI, this book is an indispensable resource for anyone seeking to unlock the full potential of their data assets.…

Paperback. Zustand: Very Good. In an era where data is hailed as the new oil and AI as the engine driving innovation, navigating the disruptive landscape of technology can be daunting for data leaders. AI & The Data Revolution, a groundbreaking book by Laura Madsen, offers pragmatic advice and strategic insights tailored for data leaders in today's fast-paced world. As digital transformation revolutionizes industries across the globe, businesses are increasingly turning to data-driven decision-making and AI-powered solutions to gain a competitive edge. However, with this rapid evolution comes many challenges and complexities that demand a fresh perspective and actionable strategies. AI & The Data Revolution serves as a beacon of guidance amidst this turbulence, providing data leaders with a comprehensive roadmap to effectively harness the power of AI while mitigating risks and maximizing opportunities. Drawing upon Madsen's years of experience in the field, this book offers a blend of theoretical frameworks and real-world case studies, equipping readers with the knowledge and tools needed to thrive in the age of AI disruption. Key themes explored include: Understanding the fundamentals of AI and its implications for data leadership. Navigating the ethical and regulatory landscape surrounding AI and data privacy. Creating a sustainable model for technology disruption in your organization. Addressing the technical debt that will hold back innovation. Creating an AI framework with dynamic innovation in mind. Step-by-step guide on how to get started. Unlike traditional textbooks or theoretical treatises, AI & The Data Revolution is designed to be a practical guidebook for data leaders, offering actionable insights and best practices that can be implemented immediately. Whether you're a seasoned executive leading a data-driven organization or a newcomer looking to navigate the complexities of AI, this book is an indispensable resource for anyone seeking to unlock the full potential of their data assets.…

Paperback. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. This book is for practitioners and academics who have learned the conventions and rules of data modelling and are looking for a deeper understanding of the discipline. The coverage of theory includes a detailed review of the extensive literature on data modelling and logical database design, referencing nearly 500 publications, with a strong focus on their relevance to practice. The practice component incorporates the largest-ever study of data modelling practitioners, involving over 450 participants in interviews, surveys and data modelling tasks. The results challenge many long-standing held assumptions about data modelling and will be of interest to academics and practitioners alike. Graeme Simsion brings to the book the practical perspective and intellectual clarity that have made his "Data Modelling Essentials" a classic in the field. He begins with a question about the nature of data modelling (design or description), and uses it to illuminate such issues as the definition of data modelling, its philosophical underpinnings, inputs and deliverables, the necessary behaviours and skills, the role of creativity, product diversity, quality measures, personal styles, and the differences between experts and novices. "Data Modeling: Theory and Practice" is essential reading for anyone involved in data modelling practice, research, or teaching.…

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. Congratulations! You completed the MongoDB application within the given tight timeframe and there is a party to celebrate your application's release into production. Although people are congratulating you at the celebration, you are feeling some uneasiness inside. To complete the project on time required making a lot of assumptions about the data, such as what terms meant and how calculations are derived. In addition, the poor documentation about the application will be of limited use to the support team, and not investigating all of the inherent rules in the data may eventually lead to poorly-performing structures in the not-so-distant future. Now, what if you had a time machine and could go back and read this book. You would learn that even NoSQL databases like MongoDB require some level of data modeling. Data modeling is the process of learning about the data, and regardless of technology, this process must be performed for a successful application. You would learn the value of conceptual, logical, and physical data modeling and how each stage increases our knowledge of the data and reduces assumptions and poor design decisions. Read this book to learn how to do data modeling for MongoDB applications, and accomplish these five objectives: Understand how data modeling contributes to the process of learning about the data, and is, therefore, a required technique, even when the resulting database is not relational. That is, NoSQL does not mean NoDataModeling!; Know how NoSQL databases differ from traditional relational databases, and where MongoDB fits; Explore each MongoDB object and comprehend how each compares to their data modeling and traditional relational database counterparts, and learn the basics of adding, querying, updating, and deleting data in MongoDB; Practice a streamlined, template-driven approach to performing conceptual, logical, and physical data modeling. Recognize that data modeling does not always have to lead to traditional data models!; Distinguish top-down from bottom-up development approaches and complete a top-down case study which ties all of the modeling techniques together. This book is written for anyone who is working with, or will be working with MongoDB, including business analysts, data modelers, database administrators, developers, project managers, and data scientists. There are three sections: In Section I, Getting Started, we will reveal the power of data modeling and the tight connections to data models that exist when designing any type of database (Chapter 1), compare NoSQL with traditional relational databases and where MongoDB fits (Chapter 2), explore each MongoDB object and comprehend how each compares to their data modeling and traditional relational database counterparts (Chapter 3), and explain the basics of adding, querying, updating, and deleting data in MongoDB (Chapter 4). In Section II, Levels of Granularity, we cover Conceptual Data Modeling (Chapter 5), Logical Data Modeling (Chapter 6), and Physical Data Modeling (Chapter 7). Notice the "ing" at the end of each of these chapters. We focus on the process of building each of these models, which is where we gain essential business knowledge. In Section III, Case Study, we will explain both top down and bottom up development approaches and go through a top down case study where we start with business requirements and end with the MongoDB database. This case study will tie together all of the techniques in the previous seven chapters. Nike Senior Data Architect Ryan Smith wrote the foreword. Key points are included at the end of each chapter as a way to reinforce concepts. In addition, this book is loaded with hands-on exercises, along with their answers provided in Appendix A. Appendix B contains all of the book's references and Appendix C contains a glossary of the terms used throughout the text.…