Soda Core For Modern Data Quality And Observability
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Soda Core For Modern Data Quality And Observability
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-24
Soda Core For Modern Data Quality And Observability written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
"Soda Core for Modern Data Quality and Observability" In "Soda Core for Modern Data Quality and Observability," readers are expertly guided through the intricate landscape of data quality management and observability in today's dynamic data environments. The book delivers a thorough introduction to the key dimensions of data quality—including accuracy, completeness, timeliness, and consistency—and explores the rise of modern data observability. With careful attention to architectural challenges in distributed data systems and the growing need for quantifiable data quality metrics, it provides a robust foundation for organizations seeking proactive assurance in their data operations. The heart of the book is a comprehensive examination of Soda Core—an advanced, open-source platform for data quality monitoring. Detailed chapters unveil Soda Core's flexible architecture, deployment strategies, and integration capabilities, equipping professionals to define, automate, and manage complex data quality checks at scale. Practical guidance on YAML-driven configuration, dynamic anomaly detection, and seamless integration with orchestration frameworks such as Airflow and dbt empowers teams to implement continuous data assurance across diverse environments, from on-premises infrastructure to the cloud. Beyond technical implementation, this authoritative resource addresses the broader enterprise context, including the operationalization of end-to-end observability, security, compliance automation, and the extensibility of Soda Core through custom plugins and APIs. Real-world industry use cases highlight successful deployments in regulated sectors, modernization projects, and real-time streaming scenarios, while expert insights reveal best practices, anti-patterns, and future trends in data quality engineering. With clear explanations and actionable strategies, this book becomes indispensable for data engineers, architects, and leaders aiming to build resilient, reliable, and trustworthy data ecosystems.
97 Things Every Data Engineer Should Know
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Author : Tobias Macey
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-06-11
97 Things Every Data Engineer Should Know written by Tobias Macey and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-11 with Computers categories.
Take advantage of the sky-high demand for data engineers today. With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from Google, Microsoft, IBM, Facebook, Databricks, and GitHub share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey from MIT Open Learning, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Projects include: Building pipelines Stream processing Data privacy and security Data governance and lineage Data storage and architecture Ecosystem of modern tools Data team makeup and culture Career advice.
Reinforcement Learning Second Edition
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Author : Richard S. Sutton
language : en
Publisher: MIT Press
Release Date : 2018-11-13
Reinforcement Learning Second Edition written by Richard S. Sutton and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Computers categories.
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Semantic Software Design
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Author : Eben Hewitt
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-09-25
Semantic Software Design written by Eben Hewitt and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-25 with Computers categories.
With this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly, lead people toward the vision, and become a great architect or Chief Architect. This book covers each key aspect of architecture comprehensively, including how to incorporate business architecture, information architecture, data architecture, application (software) architecture together to have the best chance for the system’s success. Get a practical set of proven architecture practices focused on shipping great products using architecture Learn how architecture works effectively with development teams, management, and product management teams through the value chain Find updated special coverage on machine learning architecture Get usable templates to start incorporating into your teams immediately Incorporate business architecture, information architecture, data architecture, and application (software) architecture together
Process Modelling And Simulation
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Author : César de Prada
language : en
Publisher: MDPI
Release Date : 2019-09-23
Process Modelling And Simulation written by César de Prada and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-23 with Technology & Engineering categories.
Since process models are nowadays ubiquitous in many applications, the challenges and alternatives related to their development, validation, and efficient use have become more apparent. In addition, the massive amounts of both offline and online data available today open the door for new applications and solutions. However, transforming data into useful models and information in the context of the process industry or of bio-systems requires specific approaches and considerations such as new modelling methodologies incorporating the complex, stochastic, hybrid and distributed nature of many processes in particular. The same can be said about the tools and software environments used to describe, code, and solve such models for their further exploitation. Going well beyond mere simulation tools, these advanced tools offer a software suite built around the models, facilitating tasks such as experiment design, parameter estimation, model initialization, validation, analysis, size reduction, discretization, optimization, distributed computation, co-simulation, etc. This Special Issue collects novel developments in these topics in order to address the challenges brought by the use of models in their different facets, and to reflect state of the art developments in methods, tools and industrial applications.
Data Quality
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Author : Richard Y. Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-11
Data Quality written by Richard Y. Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-11 with Computers categories.
Data Quality provides an exposé of research and practice in the data quality field for technically oriented readers. It is based on the research conducted at the MIT Total Data Quality Management (TDQM) program and work from other leading research institutions. This book is intended primarily for researchers, practitioners, educators and graduate students in the fields of Computer Science, Information Technology, and other interdisciplinary areas. It forms a theoretical foundation that is both rigorous and relevant for dealing with advanced issues related to data quality. Written with the goal to provide an overview of the cumulated research results from the MIT TDQM research perspective as it relates to database research, this book is an excellent introduction to Ph.D. who wish to further pursue their research in the data quality area. It is also an excellent theoretical introduction to IT professionals who wish to gain insight into theoretical results in the technically-oriented data quality area, and apply some of the key concepts to their practice.
Welfare Economics And Social Choice Theory
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Author : Allan M. Feldman
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-06-14
Welfare Economics And Social Choice Theory written by Allan M. Feldman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-14 with Business & Economics categories.
This book covers the main topics of welfare economics — general equilibrium models of exchange and production, Pareto optimality, un certainty, externalities and public goods — and some of the major topics of social choice theory — compensation criteria, fairness, voting. Arrow's Theorem, and the theory of implementation. The underlying question is this: "Is a particular economic or voting mechanism good or bad for society?" Welfare economics is mainly about whether the market mechanism is good or bad; social choice is largely about whether voting mechanisms, or other more abstract mechanisms, can improve upon the results of the market. This second edition updates the material of the first, written by Allan Feldman. It incorporates new sections to existing first-edition chapters, and it includes several new ones. Chapters 4, 6, 11, 15 and 16 are new, added in this edition. The first edition of the book grew out of an undergraduate welfare economics course at Brown University. The book is intended for the undergraduate student who has some prior familiarity with microeconomics. However, the book is also useful for graduate students and professionals, economists and non-economists, who want an overview of welfare and social choice results unburdened by detail and mathematical complexity. Welfare economics and social choice both probably suffer from ex cessively technical treatments in professional journals and monographs.
Inteligencia Artificial Para El Marketing
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Author : Eduardo Liberos Hoppe
language : es
Publisher: ESIC Editorial
Release Date : 2024-01-15
Inteligencia Artificial Para El Marketing written by Eduardo Liberos Hoppe and has been published by ESIC Editorial this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-15 with Business & Economics categories.
El libro Inteligencia artificial para el marketing está dirigido a directivos de marketing, grandes corporaciones y gerentes de pymes y universitarios de los últimos años en las carreras de Administración y Dirección de Empresas, Marketing y Gestión Comercial. ¿Cómo aplicar IA en marketing? El lector aprenderá cómo se crea una IA, qué técnicas podemos utilizar en marketing y las herramientas y plataformas que mejor funcionan en marketing. Los autores han trabajado con 476 plataformas de IA, y en el libro se explican los mejores usos para las disciplinas del marketing: segmentación, investigación de mercados, posicionamiento, marketing de producto, política de precios, distribución, marketing de guerrillas, marketing digital, comercio electrónico, entre otras. El libro se divide en 7 capítulos, donde se tratan de una manera profunda todas las herramientas y técnicas que un directivo puede utilizar para poner en marcha un programa de IA en el área de marketing. También se enseña el funcionamiento de las nuevas plataformas y soluciones de IA en marketing, Los autores son profesionales de reconocido prestigio que han desarrollado sus carreras profesionales en grandes corporaciones españolas y americanas. Han sido galardonados con algunos de los premios más prestigiosos en el mundo de la comunicación y son profesores invitados de algunas de las mejores escuelas de negocios y universidades de España y Latinoamérica como ESIC, IE, IEDGE, IEB, EADA, INESDI, CESMA o la Universidad Panamericana. También son speakers habituales en congresos especializados del sector de la publicidad y universidades como la Universidad Complutense, Universidad Iberoamericana, ITESO o TEC-Monterrey. Índice Prólogos.- Introducción a la inteligencia artificial aplicada al marketing.- Análisis de datos.- Machine learning.- Usos de la inteligencia artificial en marketing.- Técnicas de inteligencia artificial para el marketing.- Prompts para chatbots.- Plataformas de la IA en marketing. Bibliografía.
Competition Policy
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Author : Massimo Motta
language : en
Publisher: Cambridge University Press
Release Date : 2004-01-12
Competition Policy written by Massimo Motta and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-12 with Business & Economics categories.
This is the first book to provide a systematic treatment of the economics of antitrust (or competition policy) in a global context. It draws on the literature of industrial organisation and on original analyses to deal with such important issues as cartels, joint-ventures, mergers, vertical contracts, predatory pricing, exclusionary practices, and price discrimination, and to formulate policy implications on these issues. The interaction between theory and practice is one of the main features of the book, which contains frequent references to competition policy cases and a few fully developed case studies. The treatment is written to appeal to practitioners and students, to lawyers and economists. It is not only a textbook in economics for first year graduate or advanced undergraduate courses, but also a book for all those who wish to understand competition issues in a clear and rigorous way. Exercises and some solved problems are provided.
Doctors
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Author : Sherwin B. Nuland
language : en
Publisher: Vintage
Release Date : 2011-10-19
Doctors written by Sherwin B. Nuland and has been published by Vintage this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-19 with Biography & Autobiography categories.
From the author of How We Die, the extraordinary story of the development of modern medicine, told through the lives of the physician-scientists who paved the way. How does medical science advance? Popular historians would have us believe that a few heroic individuals, possessing superhuman talents, lead an unselfish quest to better the human condition. But as renowned Yale surgeon and medical historian Sherwin B. Nuland shows in this brilliant collection of linked life portraits, the theory bears little resemblance to the truth. Through the centuries, the men and women who have shaped the world of medicine have been not only very human, but also very much the products of their own times and places. Presenting compelling studies of great medical innovators and pioneers, Doctors gives us a fascinating history of modern medicine. Ranging from the legendary Father of Medicine, Hippocrates, to Andreas Vesalius, whose Renaissance masterwork on anatomy offered invaluable new insight into the human body, to Helen Taussig, founder of pediatric cardiology and co-inventor of the original "blue baby" operation, here is a volume filled with the spirit of ideas and the thrill of discovery.