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Data Transformation A Clear And Concise Reference
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Book Synopsis Little Book of Conflict Transformation by : John Lederach
Download or read book Little Book of Conflict Transformation written by John Lederach and published by Simon and Schuster. This book was released on 2015-01-27 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: This clearly articulated statement offers a hopeful and workable approach to conflict—that eternally beleaguering human situation. John Paul Lederach is internationally recognized for his breakthrough thinking and action related to conflict on all levels—person-to-person, factions within communities, warring nations. He explores why "conflict transformation" is more appropriate than "conflict resolution" or "management." But he refuses to be drawn into impractical idealism. Conflict Transformation is an idea with a deep reach. Its practice, says Lederach, requires "both solutions and social change." It asks not simply "How do we end something not desired?" but "How do we end something destructive and build something desired?" How do we deal with the immediate crisis, as well as the long-term situation? What disciplines make such thinking and practices possible? This title is part of The Little Books of Justice and Peacebuilding series.
Download or read book XSLT written by Doug Tidwell and published by "O'Reilly Media, Inc.". This book was released on 2001 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you ever needed to convert documents from XML to HTML ? Or from one XML vocabulary to another ? Extensible Stylesheet Transformations (XSLT) provide a critical bridge between XML processing and more familiar HTML, as well as between XML vocabularies. XSLT demonstrates how to use this powerful, but complex, tool for a wide variety of conversions. Examples illustrate many different cases and techniques, giving you working code to explore and modify for your own purposes. Originally created for page layout, XSLT has grown into one of the tore technologies used by most developers processing XML. Through clear and entertaining explanations, this book shows you how to use XSLT as a general-purpose translation tool, a system for reorganizing document content, and a tool for generating multiple results (including HTML, VRML, and SVG) from the same content. Though XSLT is extremely useful, it can also be daunting to new users. XSLT uses an XML-based template syntax combined with a terse vocabulary called XPath that identifies how the template applies to the original document. The understanding of " variables " in XSLT is very different from the understanding of " variables " in procedural languages, for instance. Getting started with XSLT is difficult, and advanced techniques require a thorough understanding of how XSLT templates work and interact with one another. XSLT brings it all together, giving developers both a thorough tutorial and a reference. It examines both XSLT and XPath, a critical companion standard, and explores subjects ranging from basic transformations to complex sorting and linking. In addition, the book explores extension functions on various XSLT processors and how to combine multiple documents with XSLT. Examples demonstrate all of the techniques described. Examples also illustrate how to use XSLT to generate a ride variety of target document types, including HTML, SVG, JPEG, Java source code, and XSLT stylesheets.
Book Synopsis A Concise Introduction to Data Compression by : David Salomon
Download or read book A Concise Introduction to Data Compression written by David Salomon and published by Springer Science & Business Media. This book was released on 2007-12-18 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This clearly written book offers readers a succinct foundation to the most important topics in the field of data compression. Part I presents the basic approaches to data compression and describes a few popular techniques and methods that are commonly used to compress data. The reader will discover essential concepts. Part II concentrates on advanced techniques, such as arithmetic coding, orthogonal transforms, subband transforms and Burrows-Wheeler transform. This book is the perfect reference for advanced undergraduates in computer science and requires a minimum of mathematics. An author-maintained website provides errata and auxiliary material.
Book Synopsis Data Pipelines Pocket Reference by : James Densmore
Download or read book Data Pipelines Pocket Reference written by James Densmore and published by O'Reilly Media. This book was released on 2021-02-10 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting
Book Synopsis Development Research in Practice by : Kristoffer Bjärkefur
Download or read book Development Research in Practice written by Kristoffer Bjärkefur and published by World Bank Publications. This book was released on 2021-07-16 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University
Book Synopsis Data Analytics by : Thomas A. Runkler
Download or read book Data Analytics written by Thomas A. Runkler and published by Springer. This book was released on 2016-07-26 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.
Book Synopsis Research & Innovation Forum 2019 by : Anna Visvizi
Download or read book Research & Innovation Forum 2019 written by Anna Visvizi and published by Springer Nature. This book was released on 2019-10-28 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features research presented and discussed during the Research & Innovation Forum (Rii Forum) 2019. As such, this volume offers a unique insight into emerging topics, issues and developments pertinent to the fields of technology, innovation and education and their social impact. Papers included in this volume apply inter- and multi-disciplinary approaches to query such issues as technology-enhanced teaching and learning, smart cities,, information systems, cognitive computing and social networking. What brings these threads of the discussion together is the question of how advances in computer science – which are otherwise largely incomprehensible to researchers from other fields – can be effectively translated and capitalized on so as to make them beneficial for society as a whole. In this context, Rii Forum and Rii Forum proceedings offer an essential venue where diverse stakeholders, including academics, the think tank sector and decision-makers, can engage in a meaningful dialogue with a view to improving the applicability of advances in computer science. In brief, Rii Forum takes the imperative inherent in the 4th industrial revolution seriously, in that it identifies ways of making technology usable and therefore inclusive.
Book Synopsis Database Systems for Advanced Applications by : Jayant R. Haritsa
Download or read book Database Systems for Advanced Applications written by Jayant R. Haritsa and published by Springer. This book was released on 2008-04-03 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: Coverage in this proceedings includes XML schemas, data mining, spatial data, indexes and cubes, data streams, P2P and transactions, complex pattern processing, IR techniques, queries and transactions, XML databases, data warehouses, and distributed data.
Book Synopsis Digital Transformation, Cyber Security and Resilience by : Todor Tagarev
Download or read book Digital Transformation, Cyber Security and Resilience written by Todor Tagarev and published by Springer Nature. This book was released on 2023-12-02 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes revised and selected papers presented at the First International Conference on Digital Transformation, Cyber Security and Resilience, DIGILIENCE 2020, held in Varna, Bulgaria, in September - October 2020. The 17 papers presented were carefully reviewed and selected from the 119 submissions. They are organized in the topical sections as follows: cyber situational awareness, information sharing and collaboration; protecting critical infrastructures and essential services from cyberattacks; big data and artificial intelligence for cybersecurity; advanced ICT security solutions; education and training for cyber resilience; ICT governance and management for digital transformation.
Book Synopsis The Economics of Data, Analytics, and Digital Transformation by : Bill Schmarzo
Download or read book The Economics of Data, Analytics, and Digital Transformation written by Bill Schmarzo and published by Packt Publishing Ltd. This book was released on 2020-11-30 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon." What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is for This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.
Book Synopsis Medical Informatics and Data Analysis by : Pentti Nieminen
Download or read book Medical Informatics and Data Analysis written by Pentti Nieminen and published by MDPI. This book was released on 2021-03-02 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: During recent years, the use of advanced data analysis methods has increased in clinical and epidemiological research. This book emphasizes the practical aspects of new data analysis methods, and provides insight into new challenges in biostatistics, epidemiology, health sciences, dentistry, and clinical medicine. This book provides a readable text, giving advice on the reporting of new data analytical methods and data presentation. The book consists of 13 articles. Each article is self-contained and may be read independently according to the needs of the reader. The book is essential reading for postgraduate students as well as researchers from medicine and other sciences where statistical data analysis plays a central role.
Book Synopsis The Dictionary of Artificial Intelligence by : Utku Taşova
Download or read book The Dictionary of Artificial Intelligence written by Utku Taşova and published by Entropol. This book was released on 2023-11-03 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling the Future: Your Portal to Artificial Intelligence Proficiency In the epoch of digital metamorphosis, Artificial Intelligence (AI) stands as the vanguard of a new dawn, a nexus where human ingenuity intertwines with machine precision. As we delve deeper into this uncharted realm, the boundary between the conceivable and the fantastical continually blurs, heralding a new era of endless possibilities. The Dictionary of Artificial Intelligence, embracing a compendium of 3,300 meticulously curated titles, endeavors to be the torchbearer in this journey of discovery, offering a wellspring of knowledge to both the uninitiated and the adept. Embarking on the pages of this dictionary is akin to embarking on a voyage through the vast and often turbulent seas of AI. Each entry serves as a beacon, illuminating complex terminologies, core principles, and the avant-garde advancements that characterize this dynamic domain. The dictionary is more than a mere compilation of terms; it's a labyrinth of understanding waiting to be traversed. The Dictionary of Artificial Intelligence is an endeavor to demystify the arcane, to foster a shared lexicon that enhances collaboration, innovation, and comprehension across the AI community. It's a mission to bridge the chasm between ignorance and insight, to unravel the intricacies of AI that often seem enigmatic to the outsiders. This profound reference material transcends being a passive repository of terms; it’s an engagement with the multifaceted domain of artificial intelligence. Each title encapsulated within these pages is a testament to the audacity of human curiosity and the unyielding quest for advancement that propels the AI domain forward. The Dictionary of Artificial Intelligence is an invitation to delve deeper, to grapple with the lexicon of a field that stands at the cusp of redefining the very fabric of society. It's a conduit through which the curious become enlightened, the proficient become masters, and the innovators find inspiration. As you traverse through the entries of The Dictionary of Artificial Intelligence, you are embarking on a journey of discovery. A journey that not only augments your understanding but also ignites the spark of curiosity and the drive for innovation that are quintessential in navigating the realms of AI. We beckon you to commence this educational expedition, to explore the breadth and depth of AI lexicon, and to emerge with a boundless understanding and an unyielding resolve to contribute to the ever-evolving narrative of artificial intelligence. Through The Dictionary of Artificial Intelligence, may your quest for knowledge be as boundless and exhilarating as the domain it explores.
Book Synopsis Making Sense of Data by : Glenn J. Myatt
Download or read book Making Sense of Data written by Glenn J. Myatt and published by John Wiley & Sons. This book was released on 2007-02-26 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical, step-by-step approach to making sense out of data Making Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. With a comprehensive collection of methods from both data analysis and data mining disciplines, this book successfully describes the issues that need to be considered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision making from data. Readers are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal tasks and technical solutions related to the analysis of data, including: * Problem definitions * Data preparation * Data visualization * Data mining * Statistics * Grouping methods * Predictive modeling * Deployment issues and applications Throughout the book, the author examines why these multiple approaches are needed and how these methods will solve different problems. Processes, along with methods, are carefully and meticulously outlined for use in any data analysis or data mining project. From summarizing and interpreting data, to identifying non-trivial facts, patterns, and relationships in the data, to making predictions from the data, Making Sense of Data addresses the many issues that need to be considered as well as the steps that need to be taken to master data analysis and mining.
Book Synopsis Directions in Databases by : David S. Bowers
Download or read book Directions in Databases written by David S. Bowers and published by Springer Science & Business Media. This book was released on 1994-06-29 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 12th British National Conference on Databases (BNCOD-12), held at Surrey, Guildford in July 1994. The BNCOD conferences are thought as a platform for exchange between theoreticians and practitioners, where researchers from academia and industry meet professionals interested in advanced database applications. The 13 refereed papers presented in the proceedings were selected from 47 submissions; they are organized in chapters on temporal databases, formal approaches, parallel databases, object-oriented databases, and distributed databases. In addition there are two invited presentations: "Managing open systems now that the "Glashouse" has gone" by R. Baker and "Knowledge reuse through networks of large KBs" by P.M.D. Gray.
Book Synopsis Data Pipelines with Apache Airflow by : Bas P. Harenslak
Download or read book Data Pipelines with Apache Airflow written by Bas P. Harenslak and published by Simon and Schuster. This book was released on 2021-04-27 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book teaches you how to build and maintain effective data pipelines. Youll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. --
Book Synopsis Decolonizing Data by : Jacqueline M. Quinless
Download or read book Decolonizing Data written by Jacqueline M. Quinless and published by University of Toronto Press. This book was released on 2022-02-15 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decolonizing Data yields valuable insights into the decolonization of research methods by addressing and examining health inequalities from an anti-racist and anti-oppressive standpoint.
Book Synopsis Data Cleaning with Power BI by : Gus Frazer
Download or read book Data Cleaning with Power BI written by Gus Frazer and published by Packt Publishing Ltd. This book was released on 2024-02-29 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the full potential of your data by mastering the art of cleaning, preparing, and transforming data with Power BI for smarter insights and data visualizations Key Features Implement best practices for connecting, preparing, cleaning, and analyzing multiple sources of data using Power BI Conduct exploratory data analysis (EDA) using DAX, PowerQuery, and the M language Apply your newfound knowledge to tackle common data challenges for visualizations in Power BI Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMicrosoft Power BI offers a range of powerful data cleaning and preparation options through tools such as DAX, Power Query, and the M language. However, despite its user-friendly interface, mastering it can be challenging. Whether you're a seasoned analyst or a novice exploring the potential of Power BI, this comprehensive guide equips you with techniques to transform raw data into a reliable foundation for insightful analysis and visualization. This book serves as a comprehensive guide to data cleaning, starting with data quality, common data challenges, and best practices for handling data. You’ll learn how to import and clean data with Query Editor and transform data using the M query language. As you advance, you’ll explore Power BI’s data modeling capabilities for efficient cleaning and establishing relationships. Later chapters cover best practices for using Power Automate for data cleaning and task automation. Finally, you’ll discover how OpenAI and ChatGPT can make data cleaning in Power BI easier. By the end of the book, you will have a comprehensive understanding of data cleaning concepts, techniques, and how to use Power BI and its tools for effective data preparation.What you will learn Connect to data sources using both import and DirectQuery options Use the Query Editor to apply data transformations Transform your data using the M query language Design clean and optimized data models by creating relationships and DAX calculations Perform exploratory data analysis using Power BI Address the most common data challenges with best practices Explore the benefits of using OpenAI, ChatGPT, and Microsoft Copilot for simplifying data cleaning Who this book is for If you’re a data analyst, business intelligence professional, business analyst, data scientist, or anyone who works with data on a regular basis, this book is for you. It’s a useful resource for anyone who wants to gain a deeper understanding of data quality issues and best practices for data cleaning in Power BI. If you have a basic knowledge of BI tools and concepts, this book will help you advance your skills in Power BI.
