The Data Catalog
The Data Catalog

Author: Bonnie O'Neil

Publisher: Technics Publications

Published: 2020-03-16

Total Pages: 350

ISBN-13: 9781634627870

DOWNLOAD EBOOK

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.

Towards Interoperable Research Infrastructures for Environmental and Earth Sciences
Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

Author: Zhiming Zhao

Publisher: Springer Nature

Published: 2020-07-24

Total Pages: 375

ISBN-13: 3030528294

DOWNLOAD EBOOK

This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a ‘reference model guided’ engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions.

The Enterprise Data Catalog
The Enterprise Data Catalog

Author: Ole Olesen-Bagneux

Publisher: "O'Reilly Media, Inc."

Published: 2023-02-15

Total Pages: 222

ISBN-13: 1492098671

DOWNLOAD EBOOK

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

Census Catalog and Guide
Census Catalog and Guide

Author: United States. Bureau of the Census

Publisher:

Published: 1995

Total Pages: 296

ISBN-13:

DOWNLOAD EBOOK

Includes subject area sections that describe all pertinent census data products available, i.e. "Business--trade and services", "Geography", "Transportation," etc.

Resources for College Libraries
Resources for College Libraries

Author: Marcus Elmore

Publisher: R. R. Bowker

Published: 2006

Total Pages: 0

ISBN-13: 9780835248556

DOWNLOAD EBOOK

This seven-volume set offers a core collection of hand-selected titles in 58 curriculum-specific subject areas. Volumes are organized into broad subject areas such as Humanities, Languages and Literature, History, Social Sciences and Professional Studies, Science and Technology, and Interdisciplinary and Area Studies. The seventh volume provides helpful cross-referencing indexes which explain the relationship between RCL subject taxonomy and LC ranges. New to this edition are the inclusion of interdisciplinary subject areas and the selection of electronic resources and web sites essential for undergraduate library collections. Non-book selections will be easily identified by a graphic indicator included in the item record. All selections will be assigned an audience level marker indicating whether the title is most appropriate for lower-division undergraduate, upper-division undergraduate, faculty, or general readership. Records will also include a notation if they previously appeared in BCL3 (Books for College Libraries, 1988) or have been reviewed by Choice.

Data Mesh
Data Mesh

Author: Zhamak Dehghani

Publisher: "O'Reilly Media, Inc."

Published: 2022-03-08

Total Pages: 387

ISBN-13: 1492092363

DOWNLOAD EBOOK

Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.