The Enterprise Data Catalog
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The Enterprise Data Catalog
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Author : Ole Olesen-Bagneux
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-02-15
The Enterprise Data Catalog written by Ole Olesen-Bagneux 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 2023-02-15 with Computers categories.
Combing the web is simple, but how do you search for data at work? It's difficult and time-consuming, and can sometimes seem impossible. This book introduces a practical solution: the data catalog. Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog. You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog. Written from a data management perspective and from a library and information science perspective, this book helps you: Learn what a data catalog is and how it can help your organization Organize data and its sources into domains and describe them with metadata Search data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphs Manage the data in your company via a data catalog Implement a data catalog in a way that exactly matches the strategic priorities of your organization Understand what the future has in store for data catalogs
The Enterprise Data Catalog
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Author : Ole Olesen-Bagneux
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-02-15
The Enterprise Data Catalog written by Ole Olesen-Bagneux 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 2023-02-15 with Computers categories.
Chapter 2. Organize Data: Design a Robust Architecture for Search -- Organizing Domains in the Data Catalog -- Domain Architecture in a Data Catalog -- Understanding Domains -- Processes and Capabilities -- Data Sources -- Getting Assets into the Data Catalog -- Pull -- Push -- Organizing Assets in the Domains -- Asset Metadata -- Metadata Quality -- Classification -- Summary -- Chapter 3. Understand Search: Concepts, Features, and Mechanics -- Why Do You Search in a Data Catalog? -- Search Features in a Data Catalog -- Searching in Data Versus Searching for Data
The Data Catalog
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Author : Bonnie O'Neil
language : en
Publisher: Technics Publications
Release Date : 2020-03-16
The Data Catalog written by Bonnie O'Neil and has been published by Technics Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-16 with categories.
Apply this definitive guide to data catalogs and select the feature set needed to empower your data citizens in their quest for faster time to insight. The data catalog may be the most important breakthrough in data management in the last decade, ranking alongside the advent of the data warehouse. The latter enabled business consumers to conduct their own analyses to obtain insights themselves. The data catalog is the next wave of this, empowering business users even further to drastically reduce time to insight, despite the rising tide of data flooding the enterprise. Use this book as a guide to provide a broad overview of the most popular Machine Learning (ML) data catalog products, and perform due diligence using the extensive features list. Consider graphical user interface (GUI) design issues such as layout and navigation, as well as scalability in terms of how the catalog will handle your current and anticipated data and metadata needs. ONeil & Frymanpresent a typology which ranges from products that focus on data lineage, curation and search, data governance, data preparation, and of course, the core capability of finding and understanding the data. The authors emphasize that machine learning is being adopted in many of these products, enabling a more elegant data democratization solution in the face of the burgeoning mountain of data that is engulfing organizations. Derek Strauss, Chairman/CEO, Gavroshe, and Former CDO, TD Ameritrade. This book is organized into three sections: Chapters 1 and 2 reveal the rationale for a data catalog and share how data scientists, data administrators, and curators fare with and without a data catalog; Chapters 3-10 present the many different types of data catalogs; Chapters 11 and 12 provide an extensive features list, current trends, and visions for the future.
The Enterprise Big Data Lake
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Author : Alex Gorelik
language : en
Publisher: O'Reilly Media
Release Date : 2019-02-21
The Enterprise Big Data Lake written by Alex Gorelik and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-21 with Computers categories.
The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries
Data Governance Handbook
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Author : Wendy S. Batchelder
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-31
Data Governance Handbook written by Wendy S. Batchelder and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
Build an actionable, business value driven case for data governance to obtain executive support and implement with excellence Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Develop a solid foundation in data governance and increase your confidence in data solutions Align data governance solutions with measurable business results and apply practical knowledge from real-world projects Learn from a three-time chief data officer who has worked in leading Fortune 500 companies Book Description2.5 quintillion bytes! This is the amount of data being generated every single day across the globe. As this number continues to grow, understanding and managing data becomes more complex. Data professionals know that it’s their responsibility to navigate this complexity and ensure effective governance, empowering businesses with the right data, at the right time, and with the right controls. If you are a data professional, this book will equip you with valuable guidance to conquer data governance complexities with ease. Written by a three-time chief data officer in global Fortune 500 companies, the Data Governance Handbook is an exhaustive guide to understanding data governance, its key components, and how to successfully position solutions in a way that translates into tangible business outcomes. By the end, you’ll be able to successfully pitch and gain support for your data governance program, demonstrating tangible outcomes that resonate with key stakeholders. What you will learn Comprehend data governance from ideation to delivery and beyond Position data governance to obtain executive buy-in Launch a governance program at scale with a measurable impact Understand real-world use cases to drive swift and effective action Obtain support for data governance-led digital transformation Launch your data governance program with confidence Who this book is for Chief data officers, data governance leaders, data stewards, and engineers who want to understand the business value of their work, and IT professionals seeking further understanding of data management, will find this book useful. You need a basic understanding of working with data, business needs, and how to meet those needs with data solutions. Prior coding experience or skills in selling data solutions to executives are not required.
Software Business
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Author : Sami Hyrynsalmi
language : en
Publisher: Springer Nature
Release Date : 2024-02-08
Software Business written by Sami Hyrynsalmi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-08 with Business & Economics categories.
This open access book constitutes the refereed proceedings of the 23rd International Conference on Software Business, ICSOB 2023, which was held in Lahti, Finland, during November 27–29, 2023. The special theme of ICSOB 2023 was Digital Agility: Mastering Change in Software Business and Digital Services. The 27 full papers and 8 short papers presented in this book were carefully reviewed and selected from 79 submissions. They were organized in topical sections as follows: Requirements; software procurement; platforms, ecosystems and data; artificial intelligence; software startups; software product management; software and business co-development; and emerging digital world.
Controlling Privacy And The Use Of Data Assets Volume 2
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Author : Ulf Mattsson
language : en
Publisher: CRC Press
Release Date : 2023-08-24
Controlling Privacy And The Use Of Data Assets Volume 2 written by Ulf Mattsson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-24 with Computers categories.
The book will review how new and old privacy-preserving techniques can provide practical protection for data in transit, use, and rest. We will position techniques like Data Integrity and Ledger and will provide practical lessons in Data Integrity, Trust, and data’s business utility. Based on a good understanding of new and old technologies, emerging trends, and a broad experience from many projects in this domain, this book will provide a unique context about the WHY (requirements and drivers), WHAT (what to do), and HOW (how to implement), as well as reviewing the current state and major forces representing challenges or driving change, what you should be trying to achieve and how you can do it, including discussions of different options. We will also discuss WHERE (in systems) and WHEN (roadmap). Unlike other general or academic texts, this book is being written to offer practical general advice, outline actionable strategies, and include templates for immediate use. It contains diagrams needed to describe the topics and Use Cases and presents current real-world issues and technological mitigation strategies. The inclusion of the risks to both owners and custodians provides a strong case for why people should care. This book reflects the perspective of a Chief Technology Officer (CTO) and Chief Security Strategist (CSS). The Author has worked in and with startups and some of the largest organizations in the world, and this book is intended for board members, senior decision-makers, and global government policy officials—CISOs, CSOs, CPOs, CTOs, auditors, consultants, investors, and other people interested in data privacy and security. The Author also embeds a business perspective, answering the question of why this an important topic for the board, audit committee, and senior management regarding achieving business objectives, strategies, and goals and applying the risk appetite and tolerance. The focus is on Technical Visionary Leaders, including CTO, Chief Data Officer, Chief Privacy Officer, EVP/SVP/VP of Technology, Analytics, Data Architect, Chief Information Officer, EVP/SVP/VP of I.T., Chief Information Security Officer (CISO), Chief Risk Officer, Chief Compliance Officer, Chief Security Officer (CSO), EVP/SVP/VP of Security, Risk Compliance, and Governance. It can also be interesting reading for privacy regulators, especially those in developed nations with specialist privacy oversight agencies (government departments) across their jurisdictions (e.g., federal and state levels).
Service Oriented Computing
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Author : Johanna Barzen
language : en
Publisher: Springer Nature
Release Date : 2022-09-30
Service Oriented Computing written by Johanna Barzen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-30 with Computers categories.
This book constitutes the revised selected papers of the 16th Symposium and Summer School on Service-Oriented Computing, SummerSOC 2022, held in Hersonissos, Crete, Greece, in July 2022. The 8 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 25 submissions. They were organized in topical sections as follows: Advanced Application Architecture; Data Science and Applications; and Quantum Computing.
The Self Service Data Roadmap
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Author : Sandeep Uttamchandani
language : en
Publisher: O'Reilly Media
Release Date : 2020-09-10
The Self Service Data Roadmap written by Sandeep Uttamchandani and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-10 with Computers categories.
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization
Ubi Media Computing Pervasive Systems Algorithms And Networks
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Author : Lin Hui
language : en
Publisher: Springer Nature
Release Date : 2025-07-19
Ubi Media Computing Pervasive Systems Algorithms And Networks written by Lin Hui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Computers categories.
This 2-volume set constitutes the refereed proceedings of the 17th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2025 and 13th International Conference on Ubi-Media Computing, Ubi-Media 2025 held in Bangkok, Thailand, in January 19–23, 2025. The 36 full papers and 16 short papers presented in this book were carefully reviewed and selected from 95 submissions. They are categorized into the following topical sections: Part 1: Edge Computing and IoT Application, Optimization and Deep Learning Application, System and Network Application, Cybersecurity Technique and Application, Machine Learning on Multimedia and Applications Part 2: Prediction Methods and Application, Data Processing and Detection Methods, Edge Computing and IoT Application, Multimedia Networks, System and Applications, Machine Learning on Intelligent Application Systems