The Data Catalog

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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 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 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

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

Implementing A Modern Data Catalog To Power Data Intelligence

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Author : Fadi Maali
language : en
Publisher:
Release Date : 2022

Implementing A Modern Data Catalog To Power Data Intelligence written by Fadi Maali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Big data categories.

Are you looking to use data as a strategic asset in your organization, so that more people can make better, data-driven decisions and accelerate time to value? This report explains how. Whether you're working on self-service analytics, data governance, or cloud data migration, authors Fadi Maali, an experienced data engineer and the lead editor of the DCAT Specification, and Jason Lim, director of product and cloud marketing at Alation, show you why a data catalog is the starting point and center of all of it. Modern data catalogs are collections of metadata describing data assets and their usage. They provide relevant functionality to support metadata management, enrichment, and search. Not only do these catalogs help you find relevant data, they also guide you through the data's proper use. This report shows you how a data catalog can help you easily find and then use the data you need.

Cataloging Unstructured Data In Ibm Watson Knowledge Catalog With Ibm Spectrum Discover

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Author : Joseph Dain
language : en
Publisher: IBM Redbooks
Release Date : 2020-08-11

Cataloging Unstructured Data In Ibm Watson Knowledge Catalog With Ibm Spectrum Discover written by Joseph Dain and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-11 with Computers categories.

This IBM® Redpaper publication explains how IBM Spectrum® Discover integrates with the IBM Watson® Knowledge Catalog (WKC) component of IBM Cloud® Pak for Data (IBM CP4D) to make the enriched catalog content in IBM Spectrum Discover along with the associated data available in WKC and IBM CP4D. From an end-to-end IBM solution point of view, IBM CP4D and WKC provide state-of-the-art data governance, collaboration, and artificial intelligence (AI) and analytics tools, and IBM Spectrum Discover complements these features by adding support for unstructured data on large-scale file and object storage systems on premises and in the cloud. Many organizations face challenges to manage unstructured data. Some challenges that companies face include: Pinpointing and activating relevant data for large-scale analytics, machine learning (ML) and deep learning (DL) workloads. Lacking the fine-grained visibility that is needed to map data to business priorities. Removing redundant, obsolete, and trivial (ROT) data and identifying data that can be moved to a lower-cost storage tier. Identifying and classifying sensitive data as it relates to various compliance mandates, such as the General Data Privacy Regulation (GDPR), Payment Card Industry Data Security Standards (PCI-DSS), and the Health Information Portability and Accountability Act (HIPAA). This paper describes how IBM Spectrum Discover provides seamless integration of data in IBM Storage with IBM Watson Knowledge Catalog (WKC). Features include: Event-based cataloging and tagging of unstructured data across the enterprise. Automatically inspecting and classifying over 1000 unstructured data types, including genomics and imaging specific file formats. Automatically registering assets with WKC based on IBM Spectrum Discover search and filter criteria, and by using assets in IBM CP4D. Enforcing data governance policies in WKC in IBM CP4D based on insights from IBM Spectrum Discover, and using assets in IBM CP4D. Several in-depth use cases are used that show examples of healthcare, life sciences, and financial services. IBM Spectrum Discover integration with WKC enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of data. The integration improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.

Servicenow Building Powerful Workflows

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Author : Tim Woodruff
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-08-17

Servicenow Building Powerful Workflows written by Tim Woodruff 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 2017-08-17 with Computers categories.

Master the management of IT Service using full potential of ServiceNow. About This Book Leverage ServiceNow's capabilities to achieve improved service management and excellent results in your IT operations by following step-by-step, practical instructions Build core administration, management, and maintenance skills with IT service management and IT operations management Improve your workflow efficiency by designing and creating responsive and automated workflows Who This Book Is For This course is for IT professionals, ServiceNow administrators, and developers who would like to gain greater control of ServiceNow and its architecture to design and create automated workflows. You should be familiar with JavaScript and basic computing technologies, but you can be new to ServiceNow. What You Will Learn Acquire and configure your own free personal developer instance of ServiceNow Read (and write!) clear, effective requirements for ServiceNow development Avoid common pitfalls and missteps that could seriously impact future progress and upgradeability Use the ServiceNow plugins to manage development Build and publish custom applications for service management Write efficient and effective client-side JavaScript Find out how to authenticate and secure Web Services Integrate and exchange data with people and systems Create and secure your systems with proper access control In Detail ServiceNow is a SaaS application that provides workflow form-based applications. It is an ideal platform for creating enterprise-level applications, giving requesters and fulfillers improved visibility and access to a process. ServiceNow-based applications often replace email by providing a better way to get work done. This course will show you how to put important ServiceNow features to work in the real world. We will introduce key concepts and examples on managing and automating IT services, and help you build a solid foundation towards this new approach. You will then learn more about the power of tasks, events, and notifications. We'll then focus on using web services and other mechanisms to integrate ServiceNow with other systems. Further on, you'll learn how to secure applications and data, and understand how ServiceNow performs logging and error reporting. At the end of this course, you will acquire immediately applicable skills to rectify everyday problems encountered on the ServiceNow platform. The course provides you with highly practical content explaining ServiceNow from the following Packt books: Learning ServiceNow ServiceNow Cookbook Mastering ServiceNow, Second Edition Style and approach This pragmatic guide follows problem-solution based approach to help you configure the ServiceNow and eliminate the challenges faced when implementing and using ServiceNow. It enables you to configure and manage ServiceNow, and learn the fundamentals of the ServiceNow platform.

Ibm Spectrum Discover Metadata Management For Deep Insight Of Unstructured Storage

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Author : Joseph Dain
language : en
Publisher: IBM Redbooks
Release Date : 2019-10-01

Ibm Spectrum Discover Metadata Management For Deep Insight Of Unstructured Storage written by Joseph Dain and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Computers categories.

This IBM® Redpaper publication provides a comprehensive overview of the IBM Spectrum® Discover metadata management software platform. We give a detailed explanation of how the product creates, collects, and analyzes metadata. Several in-depth use cases are used that show examples of analytics, governance, and optimization. We also provide step-by-step information to install and set up the IBM Spectrum Discover trial environment. More than 80% of all data that is collected by organizations is not in a standard relational database. Instead, it is trapped in unstructured documents, social media posts, machine logs, and so on. Many organizations face significant challenges to manage this deluge of unstructured data such as: Pinpointing and activating relevant data for large-scale analytics Lacking the fine-grained visibility that is needed to map data to business priorities Removing redundant, obsolete, and trivial (ROT) data Identifying and classifying sensitive data IBM Spectrum Discover is a modern metadata management software that provides data insight for petabyte-scale file and Object Storage, storage on premises, and in the cloud. This software enables organizations to make better business decisions and gain and maintain a competitive advantage. IBM Spectrum Discover provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of unstructured data. It improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.

Using Sqlite

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Author : Jay Kreibich
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2010-08-17

Using Sqlite written by Jay Kreibich 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 2010-08-17 with Computers categories.

Explains how to build database-backed applications for the Web, desktop, embedded systems, and operating systems using SQLite.