The Journey Continues From Data Lake To Data Driven Organization
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The Journey Continues From Data Lake To Data Driven Organization
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Author : Mandy Chessell
language : en
Publisher: IBM Redbooks
Release Date : 2018-02-19
The Journey Continues From Data Lake To Data Driven Organization written by Mandy Chessell and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-19 with Computers categories.
This IBM RedguideTM publication looks back on the key decisions that made the data lake successful and looks forward to the future. It proposes that the metadata management and governance approaches developed for the data lake can be adopted more broadly to increase the value that an organization gets from its data. Delivering this broader vision, however, requires a new generation of data catalogs and governance tools built on open standards that are adopted by a multi-vendor ecosystem of data platforms and tools. Work is already underway to define and deliver this capability, and there are multiple ways to engage. This guide covers the reasons why this new capability is critical for modern businesses and how you can get value from it.
Introduction To Ethics
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Author : Chhanda Chakraborti
language : en
Publisher: Springer Nature
Release Date : 2023-09-17
Introduction To Ethics written by Chhanda Chakraborti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-17 with Philosophy categories.
The book introduces the reader to western ethics as a subject, along with its three standard subdivisions. Although the book is written with university students, policymakers, and professionals in mind, the book is lucid enough to be accessible to most adult readers. The book begins with introductions to the basics of ethics. These chapters are meant to provide the reader with the background knowledge necessary for understanding the more technical chapters on metaethics, normative ethics theories, and applied ethics, the three well-known subdivisions within ethics. The chapters that follow take up core ethical issues from each of these areas. The sections focus on explanation and a critical understanding of the ethical issue. The chapters also have examples, cases, and exercises to encourage critical thinking and to enable the reader to grasp the issue better. The book has tried to bring contemporary issues, such as ethics of human organ transplantation, and contemporary theories, such as Amartya Sen’s concept of Justice and Martha Nussbaum’s Capabilities Approach, to engage the readers with ethics in the real world. The book concludes with applied ethics, but with the example of ethics of artificial intelligence. The aim is to keep ethics as a future-driven activity and to emphasize the need to understand the real-world ethical situations and dilemmas that will affect the stakeholders all around the world in the coming years as artificial intelligence and data-driven technologies change our everyday life.
Statistical Process Control And Data Analytics
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Author : John Oakland
language : en
Publisher: Taylor & Francis
Release Date : 2024-09-02
Statistical Process Control And Data Analytics written by John Oakland and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-02 with Business & Economics categories.
The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control in the mid-1980s. Then, people were rediscovering statistical methods of ‘quality control,’ and the book responded to an often desperate need to find out about the techniques and use them on data. Pressure over time from organizations supplying directly to the consumer, typically in the automotive and high technology sectors, forced those in charge of the supplying, production and service operations to think more about preventing problems than how to find and fix them. Subsequent editions retained the ‘tool kit’ approach of the first but included some of the ‘philosophy’ behind the techniques and their use. Now entitled Statistical Process Control and Data Analytics, this revised and updated eighth edition retains its focus on processes that require understanding, have variation, must be properly controlled, have a capability and need improvement – as reflected in the five sections of the book. In this book the authors provide not only an instructional guide for the tools but communicate the management practices which have become so vital to success in organizations throughout the world. The book is supported by the authors' extensive consulting work with thousands of organizations worldwide. A new chapter on data governance and data analytics reflects the increasing importance of big data in today’s business environment. Fully updated to include real-life case studies, new research based on client work from an array of industries and integration with the latest computer methods and software, the book also retains its valued textbook quality through clear learning objectives and online end-of-chapter discussion questions. It can still serve as a textbook for both student and practicing engineers, scientists, technologists, managers and anyone wishing to understand or implement modern statistical process control techniques and data analytics.
Data Engineering For Data Driven Marketing
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Author : Balamurugan Baluswamy
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-03-10
Data Engineering For Data Driven Marketing written by Balamurugan Baluswamy and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Business & Economics categories.
Offering a thorough exploration of the symbiotic relationship between data engineering and modern marketing strategies, Data Engineering for Data-Driven Marketing uses a strategic lens to delve into methodologies of collecting, transforming, and storing diverse data sources.
Data Mesh
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Author : Zhamak Dehghani
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-03-08
Data Mesh written by Zhamak Dehghani 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 2022-03-08 with Computers categories.
We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale. Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance. Get a complete introduction to data mesh principles and its constituents Design a data mesh architecture Guide a data mesh strategy and execution Navigate organizational design to a decentralized data ownership model Move beyond traditional data warehouses and lakes to a distributed data mesh
The Cloud Data Lake
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Author : Rukmani Gopalan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-12-12
The Cloud Data Lake written by Rukmani Gopalan 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 2022-12-12 with Computers categories.
More organizations than ever understand the importance of data lake architectures for deriving value from their data. Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights. This book provides a concise yet comprehensive overview on the setup, management, and governance of a cloud data lake. Author Rukmani Gopalan, a product management leader and data enthusiast, guides data architects and engineers through the major aspects of working with a cloud data lake, from design considerations and best practices to data format optimizations, performance optimization, cost management, and governance. Learn the benefits of a cloud-based big data strategy for your organization Get guidance and best practices for designing performant and scalable data lakes Examine architecture and design choices, and data governance principles and strategies Build a data strategy that scales as your organizational and business needs increase Implement a scalable data lake in the cloud Use cloud-based advanced analytics to gain more value from your data
Handbook Of Research On Big Data Storage And Visualization Techniques
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Author : Segall, Richard S.
language : en
Publisher: IGI Global
Release Date : 2018-01-05
Handbook Of Research On Big Data Storage And Visualization Techniques written by Segall, Richard S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-05 with Computers categories.
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.
Proceedings Of Fifth International Conference On Computing Communications And Cyber Security
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Author : Sudeep Tanwar
language : en
Publisher: Springer Nature
Release Date : 2024-07-30
Proceedings Of Fifth International Conference On Computing Communications And Cyber Security written by Sudeep Tanwar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Technology & Engineering categories.
This book features selected research papers presented at the Fifth International Conference on Computing, Communications, and Cyber-Security (IC4S'05), organized in India, during 29 February to 1 March, 2024. The conference was hosted at SMVDU, Katra, J&K, India . It includes innovative work from researchers, leading innovators, and professionals in the areas of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues. The work is presented in two volumes.
Cognitive Analytics Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2020-03-06
Cognitive Analytics Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-06 with Science categories.
Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.
Architecting Data And Machine Learning Platforms
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Author : Marco Tranquillin
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-10-12
Architecting Data And Machine Learning Platforms written by Marco Tranquillin 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 2023-10-12 with Computers categories.
All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way. This handbook shows you how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, and multicloud tools like Snowflake and Databricks. Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle from ingestion to activation in a cloud environment using real-world enterprise architectures. You'll learn how to transform, secure, and modernize familiar solutions like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage. You'll learn how to: Design a modern and secure cloud native or hybrid data analytics and machine learning platform Accelerate data-led innovation by consolidating enterprise data in a governed, scalable, and resilient data platform Democratize access to enterprise data and govern how business teams extract insights and build AI/ML capabilities Enable your business to make decisions in real time using streaming pipelines Build an MLOps platform to move to a predictive and prescriptive analytics approach