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Darkness at Chancellorsville: A Novel of Stonewall Jackson's Triumph and Tragedy
by Ralph PetersRalph Peters' Darkness at Chancellorsville is a novel of one of the most dramatic battles in American history, from the New York Times bestselling, three-time Boyd Award-winning author of the Battle Hymn Cycle.Centered upon one of the most surprising and dramatic battles in American history, Darkness at Chancellorsville recreates what began as a brilliant, triumphant campaign for the Union—only to end in disaster for the North. Famed Confederate Generals Robert E. Lee and Stonewall Jackson bring off an against-all-odds surprise victory, humiliating a Yankee force three times the size of their own, while the Northern army is torn by rivalries, anti-immigrant prejudice and selfish ambition. This historically accurate epic captures the high drama, human complexity and existential threat that nearly tore the United States in two, featuring a broad range of fascinating—and real—characters, in blue and gray, who sum to an untold story about a battle that has attained mythic proportions. And, in the end, the Confederate triumph proved a Pyrrhic victory, since it lured Lee to embark on what would become the war's turning point—the Gettysburg Campaign (featured in Cain At Gettysburg).At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.
Darkness Falls: The third unmissable thriller in the pulse-pounding Kate Marshall series (Kate Marshall #3)
by Robert BryndzaTHE UNMISSABLE NEW THRILLER FROM THE INTERNATIONALLY BESTSELLING AUTHOR OF THE GIRL IN THE ICE, NINE ELMS AND SHADOW SANDS, ROBERT BRYNDZA'The third Kate Marshall thriller, is the best one yet!' The Times'An exciting, riveting read from a master storyteller who never disappoints' Rachel Abbott, author of The Murder Game'A gripping page-turner that gets darker and darker . . .' Mark Griffin, author of When Angels Sleep __________Kate Marshall's detective agency takes off when she and her partner Tristan are hired to investigate a cold case from over a decade ago. Twelve years previously, a determined young journalist called Joanna Duncan exposed a political scandal that had major repercussions. In the fallout she disappeared without trace and was never found. When Kate and Tristan examine the case files, they find the trail long cold, but they discover the names of two young men who also vanished at that time. As she begins to connect their last days, Kate realizes that Joanna may have been onto something far more sinister than anyone first believed: the identity of a serial killer preying on the people who few will ever miss. But the closer Kate comes to finding the killer, the darker things become . . .__________WHAT READERS ARE SAYING ABOUT DARKNESS FALLS'What a climax! I had to pick my jaw back up from the floor' ⭐ ⭐ ⭐ ⭐ ⭐'An exciting and thrilling read that will leave you desperate for more!' ⭐ ⭐ ⭐ ⭐ ⭐'As always this is another five star read for me from this author' ⭐ ⭐ ⭐ ⭐ ⭐'I knew as soon as I started this book, I wouldn't be able to put it down. The characters, storyline and location grabbed me and I was mesmerised through to the last page' ⭐ ⭐ ⭐ ⭐ ⭐'Kate Marshall is one of my most very favourite characters' ⭐ ⭐ ⭐ ⭐ ⭐
Darkness Visible: A Study of Vergil's "Aeneid"
by W.R. JohnsonOne of the best books ever written on one of humanity’s greatest epics, W. R. Johnson’s classic study of Vergil’s Aeneid challenges centuries of received wisdom. Johnson rejects the political and historical reading of the epic as a record of the glorious prehistory of Rome and instead foregrounds Vergil’s enigmatic style and questioning of the heroic myths. With an approach to the text that is both grounded in scholarship and intensely personal, and in a style both rhetorically elegant and passionate, Johnson offers readings of specific passages that are nuanced and suggestive as he focuses on the “somber and nourishing fictions” in Vergil’s poem. A timeless work of scholarship, Darkness Visible will enthrall classicists as well as students and scholars of the history of criticism—specifically the way in which politics influence modern readings of the classics—and of poetry and literature.
Darkseid’s Food Feud (Teen Titans Go! Multiverse Adventures Ser.)
by Cristina OxtraWhen the Teen Titans pass through a crack in the Multiverse, they land in a cooking contest developed by the dastardly Darkseid. And who do they find themselves pitted against? None other than their own culinary copies—the Chef Titans! Can the young heroes cook up a way to bake it to freedom? Or will a series of kitchen calamities mean their goose is cooked? Find out in this hilariously mixed-up Multiverse chapter book for fans of Teen Titans Go!
Darling Girls: A Novel
by Sally HepworthSISTERS, SECRETS, LOVE, AND MURDER... Sally Hepworth’s new novel has it all.For as long as they can remember, Jessica, Norah, and Alicia have been told how lucky they are. As young girls they were rescued from family tragedies and raised by a loving foster mother, Miss Fairchild, on an idyllic farming estate and given an elusive second chance at a happy family life. But their childhood wasn’t the fairy tale everyone thinks it was. Miss Fairchild had rules. Miss Fairchild could be unpredictable. And Miss Fairchild was never, ever to be crossed. In a moment of desperation, the three broke away from Miss Fairchild and thought they were free. Even though they never saw her again, she was always somewhere in the shadows of their minds. When a body is discovered under the home they grew up in, the foster sisters find themselves thrust into the spotlight as key witnesses. Or are they prime suspects?A thrilling page-turner of sisterhood, secrets, love, and murder by New York Times bestselling author Sally Hepworth.“Sally Hepworth writes characters you love.” —LIANE MORIARTY, BESTSELLING AUTHOR OF APPLES NEVER FALL
Darwin and the Emergence of Evolutionary Theories of Mind and Behavior (Science And Its Conceptual Foundations Ser.)
by Robert J. RichardsWith insight and wit, Robert J. Richards focuses on the development of evolutionary theories of mind and behavior from their first distinct appearance in the eighteenth century to their controversial state today. Particularly important in the nineteenth century were Charles Darwin's ideas about instinct, reason, and morality, which Richards considers against the background of Darwin's personality, training, scientific and cultural concerns, and intellectual community. Many critics have argued that the Darwinian revolution stripped nature of moral purpose and ethically neutered the human animal. Richards contends, however, that Darwin, Herbert Spencer, and their disciples attempted to reanimate moral life, believing that the evolutionary process gave heart to unselfish, altruistic behavior. "Richards's book is now the obvious introduction to the history of ideas about mind and behavior in the nineteenth century."—Mark Ridley, Times Literary Supplement "Not since the publication of Michael Ghiselin's The Triumph of the Darwinian Method has there been such an ambitious, challenging, and methodologically self-conscious interpretation of the rise and development and evolutionary theories and Darwin's role therein."—John C. Greene, Science "His book . . . triumphantly achieves the goal of all great scholarship: it not only informs us, but shows us why becoming thus informed is essential to understanding our own issues and projects."—Daniel C. Dennett, Philosophy of Science
Darwin Mythology: Debunking Myths, Correcting Falsehoods
by Kostas KampourakisMany historical figures have their lives and works shrouded in myth, both in life and long after their deaths. Charles Darwin (1809–82) is no exception to this phenomenon and his hero-worship has become an accepted narrative. This concise, accessible and engaging collection unpacks this narrative to rehumanize Darwin's story and establish what it meant to be a 'genius' in the Victorian context. Leading Darwin scholars have come together to argue that, far from being a lonely genius in an ivory tower, Darwin had fortune, diligence and – crucially – community behind him. The aims of this essential work are twofold. First, to set the historical record straight, debunking the most pervasive myths and correcting falsehoods. Second, to provide a deeper understanding of the nature of science itself, relevant to historians, scientists and the public alike.
Darwin's Evolving Identity: Adventure, Ambition, and the Sin of Speculation
by Alistair SponselWhy—against his mentor’s exhortations to publish—did Charles Darwin take twenty years to reveal his theory of evolution by natural selection? In Darwin’s Evolving Identity, Alistair Sponsel argues that Darwin adopted this cautious approach to atone for his provocative theorizing as a young author spurred by that mentor, the geologist Charles Lyell. While we might expect him to have been tormented by guilt about his private study of evolution, Darwin was most distressed by harsh reactions to his published work on coral reefs, volcanoes, and earthquakes, judging himself guilty of an authorial “sin of speculation.” It was the battle to defend himself against charges of overzealous theorizing as a geologist, rather than the prospect of broader public outcry over evolution, which made Darwin such a cautious author of Origin of Species. Drawing on his own ambitious research in Darwin’s manuscripts and at the Beagle’s remotest ports of call, Sponsel takes us from the ocean to the Origin and beyond. He provides a vivid new picture of Darwin’s career as a voyaging naturalist and metropolitan author, and in doing so makes a bold argument about how we should understand the history of scientific theories.
Das Erbe des Krieges: Die Entstehung, Entwicklung und Transformation der Lebanese Forces von einer Miliz in eine politische Partei (Politik und Gesellschaft des Nahen Ostens)
by Peter BlankDas vorliegende Buch untersucht die Entstehung und Entwicklung der Lebanese Forces als Miliz im libanesischen Bürgerkrieg (1975-1990) und ihre Transformation in eine politische Partei nach dem Ende des Krieges bis in die heutige Zeit. Als eine der wichtigsten Parteien des Landes spiegelt die Entwicklung der Lebanese Forces die wechselhafte Geschichte des Libanons seit dem Bürgerkrieg wider. Durch die Untersuchung der Organisationsstrukturen sowie von Mitgliederprofilen und Ideologie werden die Kontinuitäten und Diskontinuitäten der Parteigeschichte in ihrem historischen Kontext sichtbar gemacht und aufgezeigt, wie das Erbe des Krieges die politischen und gesellschaftlichen Entwicklungen des Libanons auch Jahrzehnte nach dem Ende der Gewalt prägt.
Das Fahrzeug als Medienerlebnisraum: Mediatisiertes Fahrerleben – theoretische Modellbildung & empirische Exploration
by Sarah Viktoria von HörenMediatisiertes Fahrerleben, bei dem Autofahrende ihre Fahrt durch mediale Inhalte anreichern, veranschaulicht die Verschmelzung von kommunikativer und physischer Mobilität. Das Mediatized Drive Experiences (MDX)-Modell, ein Ergebnis der integrativen Verbindung von Kommunikationswissenschaft und Verkehrspsychologie, betrachtet die Medieninteraktion im Fahrzeug aus einer Erlebnisperspektive. Es berücksichtigt Faktoren wie Persönlichkeitseigenschaften, Fahrsituation, Medieninhalte und soziale Kontexte. Zentrale Dimensionen sind Enjoyment, Agency und Perceived Safety, beeinflusst durch Selbstregulierung sowie kognitive und emotionale Prozesse der Fahrenden. Eine Online-Studie untersucht die Mediennutzung in verschiedenen Fahrsituationen und deren Auswirkungen auf das Fahrerleben. Das Fahrzeug wird als neuer Raum für Medienerlebnisse betrachtet, was einen interdisziplinären Beitrag zur Erforschung der Mediennutzung im Automobilbereich leistet.
"Das Kapital“ im Osten: Überlegungen zu Marx
by Achin Chakraborty Anjan Chakrabarti Byasdeb Dasgupta Samita SenDieses Buch verfolgt einen marxistischen Ansatz mit dem Schwerpunkt auf der Klasse, um über Marx' Kapital im Kontext des Ostens nachzudenken. Es nimmt eine kritische Neubewertung einiger vertrauter Konzepte im Kapital vor und arbeitet Themen heraus, die an dessen Rand liegen. In verschiedenen Aufsätzen wird dieses Grenzgebiet erkundet, um neueKonzepte und Analysemethoden für Marx' Abhandlung im 21. Jahrhundert zu fördern. Jahrhundert voranzutreiben. Damit stellt es einen Fortschritt in der Marxschen Theorie und Politik dar.Das Buch untersucht das Kapital von Marx aus der Perspektive und dem Blickwinkel des Ostens und konzentriert sich auf viele Themen, die an den "Grenzen" des Kapitals liegen, das sich hauptsächlich mit der Entschlüsselung des entwickelten Kapitalismus befasst. Es werden neue Konzepte eingeführt und in Beziehung zu den von Marx vertretenen gesetzt, um unser Verständnis von Wirtschaft, Kapitalismus, Entwicklung und Politik zu verbessern. In dieser Hinsichtbietet das Buch eine Lesart des Kapitals, die sich von den herkömmlichen Überlegungen in der westlichen Welt unterscheidet.Der Umfang ist groß und deckt einen großen Teil des Gebiets von Marx' Kapital ab, wobei auch einige neue Themen im Zusammenhang mit dem Kapital behandelt werden. Der Inhalt gliedert sich in die folgenden Abschnitte: Rezeption des Kapitals im Osten; Wert, Ware, Mehrwert und Kapitalismus; Bevölkerung und Rente im Kapital; und Fragen jenseits des Kapitals.
Das Knochenmarködem-Syndrom: Fortschritte in Diagnose und Therapie (essentials)
by Reiner BartlMit Einführung der Magnetresonanztomographie (MRT) als bildgebende Methode für die klinische Routine in den 80er Jahren kann erstmals das Knochenmarködem (KMÖ) eindeutig diagnostiziert werden. Der lokale Nachweis eines KMÖ im Rahmen von orthopädischen, sportmedizinischen und unfallchirurgischen Erkrankungen führte zum Begriff des „Knochenmarködem-Syndroms“ (KMÖS). Diese radiologisch-klinische Entität ist mit massiven Schmerzen und Bewegungseinschränkung verbunden. Während früher eine Anbohrung des ödematösen Bezirks als „Mittel der Wahl“ galt, stehen heute effektive Medikamente, biophysikalische Verfahren und Kombinationstherapien zur Verfügung, die zu einer Ausheilung des Ödems führen.
Das Nachleben der Künste: Von Kunst und Künsten zu Materialien und Orten (Ästhetiken X.0 – Zeitgenössische Konturen ästhetischen Denkens)
by Christian GrünyDie künstlerische Produktion der Gegenwart ist äußerst divers und kaum mehr auf klare Kategorien festlegbar. Es ist eine geläufige Diagnose, dass sich Disziplinengrenzen auflösen und dass letztlich alles in einer Kunst im Singular aufgeht. Das Buch vertritt die These, dass bei allen Überschreitungs- und Hybridisierungsbewegungen disziplinäre Logiken weiterhin bedeutsam sind und dass die Begriffe der Kunst im Singular und der Künste im Plural nur schlecht geeignet sind, diese Situation zu beschreiben: Sie unterschätzen die Heterogenität der künstlerischen Arbeiten bzw. suggerieren, die verschiedenen Disziplinen ließen sich sauber nebeneinander sortieren und folgten im Großen und Ganzen derselben Logik, was offensichtlich nicht der Fall ist. Als alternative Beschreibungsmöglichkeiten werden die Begriffe des Materials und des Ortes angeboten, mit denen jeweils konkrete, aber systematisch verankerte Analysen an die Stelle klarer Kategorisierungen gesetzt werden. Der Begriff des künstlerischen Materials wird von Theodor W. Adorno übernommen, aber flexibilisiert: Er ist produktiv darin, dass er die innere Historizität von Kunstwerken zu denken erlaubt und sie auf Vorläufer und Traditionslinien beziehbar macht. Er muss allerdings von der Vorstellung eines klaren Fortschritts befreit und von der Fixierung auf einzelne, getrennte Disziplinen gelöst werden. Mit dem Begriff des Ortes wird der disziplinären, architektonischen, institutionellen und geopolitischen Situierung künstlerischer Arbeiten Rechnung getragen. Die beiden Begriffe funktionieren komplementär, indem sie Materiallinien auch über Grenzen hinweg verfolgbar und die Interferenzen beschreibbar machen, die sich bei Ortswechseln ergeben.Dies ist ein Open-Access-Buch.
Data Analysis in Qualitative Research: Theorizing with Abductive Analysis
by Stefan Timmermans Iddo TavoryFrom two experts in the field comes an accessible, how-to guide that will help researchers think more productively about the relation between theory and data at every stage of their work. In Data Analysis in Qualitative Research, Iddo Tavory and Stefan Timmermans provide a how-to guide filled with tricks of the trade for researchers who hope to take excellent qualitative data and transform it into powerful scholarship. In their previous book, Abductive Analysis: Theorizing Qualitative Research, Timmermans and Tavory offered a toolkit for innovative theorizing in the social sciences. In this companion, they go one step further to show how to uncover the surprising revelations that lie waiting in qualitative data—in sociology and beyond. In this book, they lay out a series of tools designed to help both novice and expert scholars see and understand their data in surprising ways. Timmermans and Tavory show researchers how to “stack the deck” of qualitative research in favor of locating surprising findings that may lead to theoretical breakthroughs, whether by engaging with theory, discussing research strategies, or walking the reader through the process of coding data. From beginning to end of a research project, Data Analysis in Qualitative Research helps social scientists pinpoint the most promising paths to take in their approach.
Data Augmentation, Labelling, and Imperfections: Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings (Lecture Notes in Computer Science #14379)
by Chen Chen Chao Chen Yuan Xue Lianrui Zuo Yihao LiuThis LNCS conference volume constitutes the proceedings of the 3rd International Workshop on Data Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions. The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis.
Data-Centric Artificial Intelligence for Multidisciplinary Applications
by Parikshit N. Mahalle Gitanjali R. Shinde Namrata N. WasatkarThis book explores the need for a data‑centric AI approach and its application in the multidisciplinary domain, compared to a model‑centric approach. It examines the methodologies for data‑centric approaches, the use of data‑centric approaches in different domains, the need for edge AI and how it differs from cloud‑based AI. It discusses the new category of AI technology, "data‑centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data‑centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods.• Includes a collection of case studies with experimentation results to adhere to the practical approaches• Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways• Discusses methodologies to achieve accurate results by improving the quality of data• Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications
Data Driven: Truckers, Technology, and the New Workplace Surveillance
by Karen LevyA behind-the-scenes look at how digital surveillance is affecting the trucking way of lifeLong-haul truckers are the backbone of the American economy, transporting goods under grueling conditions and immense economic pressure. Truckers have long valued the day-to-day independence of their work, sharing a strong occupational identity rooted in a tradition of autonomy. Yet these workers increasingly find themselves under many watchful eyes. Data Driven examines how digital surveillance is upending life and work on the open road, and raises crucial questions about the role of data collection in broader systems of social control.Karen Levy takes readers inside a world few ever see, painting a bracing portrait of one of the last great American frontiers. Federal regulations now require truckers to buy and install digital monitors that capture data about their locations and behaviors. Intended to address the pervasive problem of trucker fatigue by regulating the number of hours driven each day, these devices support additional surveillance by trucking firms and other companies. Traveling from industry trade shows to law offices and truck-stop bars, Levy reveals how these invasive technologies are reconfiguring industry relationships and providing new tools for managerial and legal control—and how truckers are challenging and resisting them.Data Driven contributes to an emerging conversation about how technology affects our work, institutions, and personal lives, and helps to guide our thinking about how to protect public interests and safeguard human dignity in the digital age.
Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture
by Syed Nisar Hussain BukhariIn the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies.Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.
Data-Driven Innovation for Intelligent Technology: Perspectives and Applications in ICT (Studies in Big Data #148)
by Hiram Ponce Jorge Brieva Octavio Lozada-Flores Lourdes Martínez-Villaseñor Ernesto Moya-AlborThis book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value.It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others.This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
by Paul CrickardBuild, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projectsKey FeaturesBecome well-versed in data architectures, data preparation, and data optimization skills with the help of practical examplesDesign data models and learn how to extract, transform, and load (ETL) data using PythonSchedule, automate, and monitor complex data pipelines in productionBook DescriptionData engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.What you will learnUnderstand how data engineering supports data science workflowsDiscover how to extract data from files and databases and then clean, transform, and enrich itConfigure processors for handling different file formats as well as both relational and NoSQL databasesFind out how to implement a data pipeline and dashboard to visualize resultsUse staging and validation to check data before landing in the warehouseBuild real-time pipelines with staging areas that perform validation and handle failuresGet to grips with deploying pipelines in the production environmentWho this book is forThis book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.
Data Modeling with Microsoft Power BI
by Markus Ehrenmueller-JensenData modeling is the single most overlooked feature in Power BI Desktop, yet it's what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher.Author Markus Ehrenmueller-Jensen, founder of Savory Data, shows you the basic concepts of Power BI's semantic model with hands-on examples in DAX, Power Query, and T-SQL. If you're looking to build a data warehouse layer, chapters with T-SQL examples will get you started. You'll begin with simple steps and gradually solve more complex problems.This book shows you how to:Normalize and denormalize with DAX, Power Query, and T-SQLApply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensionsSolve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQLDiscover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQLWork with tables, relations, set operations, normal forms, dimensional modeling, and ETL
The Data Preparation Journey: Finding Your Way with R (Chapman & Hall/CRC Data Science Series)
by Martin Hugh MonkmanThe Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science programming language R. These solutions include examples of complex real-world data, adding greater context and exposing the reader to greater technical challenges. This book focuses on the Import to Tidy to Transform steps. It demonstrates how “Visualise” is an important part of Exploratory Data Analysis, a strategy for identifying potential problems with the data prior to cleaning.This book is designed for readers with a working knowledge of data manipulation functions in R or other programming languages. It is suitable for academics for whom analyzing data is crucial, businesses who make decisions based on the insights gleaned from collecting data from customer interactions, and public servants who use data to inform policy and program decisions. The principles and practices described within The Data Preparation Journey apply regardless of the context.Key Features: Includes R package containing the code and data sets used in the book Comprehensive examples of data preparation from a variety of disciplines Defines the key principles of data preparation, from access to publication
Data Quality in the Age of AI: Building a foundation for AI strategy and data culture
by Andrew JonesUnlock the power of data with expert insights to enhance data quality, maximizing the potential of AI, and establishing a data-centric cultureKey FeaturesGain a profound understanding of the interplay between data quality and AIExplore strategies to improve data quality with practical implementation and real-world resultsAcquire the skills to measure and evaluate data quality, empowering data-driven decisionsPurchase of the Kindle book includes a free PDF eBookBook DescriptionAs organizations worldwide seek to revamp their data strategies to leverage AI advancements and benefit from newfound capabilities, data quality emerges as the cornerstone for success. Without high-quality data, even the most advanced AI models falter. Enter Data Quality in the Age of AI, a detailed report that illuminates the crucial role of data quality in shaping effective data strategies. Packed with actionable insights, this report highlights the critical role of data quality in your overall data strategy. It equips teams and organizations with the knowledge and tools to thrive in the evolving AI landscape, serving as a roadmap for harnessing the power of data quality, enabling them to unlock their data's full potential, leading to improved performance, reduced costs, increased revenue, and informed strategic decisions.What you will learnDiscover actionable steps to establish data quality as the foundation of your data cultureEnhance data quality directly at its source with effective strategies and best practicesElevate data quality standards and enhance data literacy within your organizationIdentify and measure data quality within the datasetAdopt a product mindset to address data quality challengesExplore emerging architectural patterns like data mesh and data contractsAssign roles, responsibilities, and incentives for data generatorsGain insights from real-world case studiesWho this book is forThis report is for data leaders and decision-makers, including CTOs, CIOs, CISOs, CPOs, and CEOs responsible for shaping their organization's data strategy to maximize data value, especially those interested in harnessing recent AI advancements.
Data Rules: Reinventing the Market Economy (Acting with Technology)
by Jannis Kallinikos Cristina AlaimoA new social science framework for studying the unprecedented social and economic restructuring driven by digital data.Digital data have become the critical frontier where emerging economic practices and organizational forms confront the traditional economic order and its institutions. In Data Rules, Cristina Alaimo and Jannis Kallinikos establish a social science framework for analyzing the unprecedented social and economic restructuring brought about by data. Working at the intersection of information systems and organizational studies, they draw extensively on intellectual currents in sociology, semiotics, cognitive science and technology, and social theory. Making the case for turning &“data-making&” into an area of inquiry of its own, the authors uncover how data are deeply implicated in rewiring the institutions of the market economy.The authors associate digital data with the decentering of organizations. As they point out, centered systems make sense only when firms (and formal organizations more broadly) can keep the external world at arm&’s length and maintain a relative operation independence from it. These patterns no longer hold. Data transform the production of goods and services to an endless series of exchanges and interactions that defeat the functional logics of markets and organizations. The diffusion of platforms and ecosystems is indicative of these broader transformations. Rather than viewing data as simply a force of surveillance and control, the authors place the transformative potential of data at the center of an emerging socioeconomic order that restructures society and its institutions.
Data Science and Emerging Technologies: Proceedings of DaSET 2023 (Lecture Notes on Data Engineering and Communications Technologies #191)
by Michael W. Berry Yap Bee Wah Dhiya Al-Jumeily OBEThe book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.