The Data Catalog

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The Data Catalog

Author : Bonnie O'Neil
Publisher : Technics Publications
ISBN 13 : 9781634627870
Total Pages : 350 pages
Book Rating : 4.6/5 (278 download)

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Book Synopsis The Data Catalog by : Bonnie O'Neil

Download or read book The Data Catalog written by Bonnie O'Neil and published by Technics Publications. This book was released on 2020-03-16 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Ole Olesen-Bagneux
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 149209868X
Total Pages : 219 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis The Enterprise Data Catalog by : Ole Olesen-Bagneux

Download or read book The Enterprise Data Catalog written by Ole Olesen-Bagneux and published by "O'Reilly Media, Inc.". This book was released on 2023-02-15 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Sandeep Uttamchandani
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492075205
Total Pages : 297 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis The Self-Service Data Roadmap by : Sandeep Uttamchandani

Download or read book The Self-Service Data Roadmap written by Sandeep Uttamchandani and published by "O'Reilly Media, Inc.". This book was released on 2020-09-10 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

North American Climatic Data Catalog

Author :
Publisher :
ISBN 13 :
Total Pages : 676 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis North American Climatic Data Catalog by :

Download or read book North American Climatic Data Catalog written by and published by . This book was released on 1984 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Refactoring Databases

Author : Scott W. Ambler
Publisher : Pearson Education
ISBN 13 : 0321630173
Total Pages : 554 pages
Book Rating : 4.3/5 (216 download)

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Book Synopsis Refactoring Databases by : Scott W. Ambler

Download or read book Refactoring Databases written by Scott W. Ambler and published by Pearson Education. This book was released on 2006-03-03 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Refactoring has proven its value in a wide range of development projects–helping software professionals improve system designs, maintainability, extensibility, and performance. Now, for the first time, leading agile methodologist Scott Ambler and renowned consultant Pramodkumar Sadalage introduce powerful refactoring techniques specifically designed for database systems. Ambler and Sadalage demonstrate how small changes to table structures, data, stored procedures, and triggers can significantly enhance virtually any database design–without changing semantics. You’ll learn how to evolve database schemas in step with source code–and become far more effective in projects relying on iterative, agile methodologies. This comprehensive guide and reference helps you overcome the practical obstacles to refactoring real-world databases by covering every fundamental concept underlying database refactoring. Using start-to-finish examples, the authors walk you through refactoring simple standalone database applications as well as sophisticated multi-application scenarios. You’ll master every task involved in refactoring database schemas, and discover best practices for deploying refactorings in even the most complex production environments. The second half of this book systematically covers five major categories of database refactorings. You’ll learn how to use refactoring to enhance database structure, data quality, and referential integrity; and how to refactor both architectures and methods. This book provides an extensive set of examples built with Oracle and Java and easily adaptable for other languages, such as C#, C++, or VB.NET, and other databases, such as DB2, SQL Server, MySQL, and Sybase. Using this book’s techniques and examples, you can reduce waste, rework, risk, and cost–and build database systems capable of evolving smoothly, far into the future.

Non-Invasive Data Governance

Author : Robert S. Seiner
Publisher : Technics Publications
ISBN 13 : 1634620453
Total Pages : 147 pages
Book Rating : 4.6/5 (346 download)

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Book Synopsis Non-Invasive Data Governance by : Robert S. Seiner

Download or read book Non-Invasive Data Governance written by Robert S. Seiner and published by Technics Publications. This book was released on 2014-09-01 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.

Data Products and the Data Mesh

Author : Alberto Artasanchez
Publisher : The Data Science Ninja
ISBN 13 :
Total Pages : 643 pages
Book Rating : 4.3/5 (97 download)

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Book Synopsis Data Products and the Data Mesh by : Alberto Artasanchez

Download or read book Data Products and the Data Mesh written by Alberto Artasanchez and published by The Data Science Ninja. This book was released on with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Data Products and the Data Mesh" is a comprehensive guide that explores the emerging paradigm of the data mesh and its implications for organizations navigating the data-driven landscape. This book equips readers with the knowledge and insights needed to design, build, and manage effective data products within the data mesh framework. The book starts by introducing the core concepts and principles of the data mesh, highlighting the shift from centralized data architectures to decentralized, domain-oriented approaches. It delves into the key components of the data mesh, including federated data governance, data marketplaces, data virtualization, and adaptive data products. Each chapter provides in-depth analysis, practical strategies, and real-world examples to illustrate the application of these concepts. Readers will gain a deep understanding of how the data mesh fosters a culture of data ownership, collaboration, and innovation. They will explore the role of modern data architectures, such as data marketplaces, in facilitating decentralized data sharing, access, and monetization. The book also delves into the significance of emerging technologies like blockchain, AI, and machine learning in enhancing data integrity, security, and value creation. Throughout the book, readers will discover practical insights and best practices to overcome challenges related to data governance, scalability, privacy, and compliance. They will learn how to optimize data workflows, leverage domain-driven design principles, and harness the power of data virtualization to drive meaningful insights and create impactful data products. "Data Products and the Data Mesh" is an essential resource for data professionals, architects, and leaders seeking to navigate the complex world of data products within the data mesh paradigm. It provides a comprehensive roadmap for building a scalable, decentralized, and innovative data ecosystem that empowers organizations to unlock the full potential of their data assets and drive data-driven success.

Feedback

Author : Kate Horsfield
Publisher : Temple University Press
ISBN 13 : 1592131832
Total Pages : 357 pages
Book Rating : 4.5/5 (921 download)

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Book Synopsis Feedback by : Kate Horsfield

Download or read book Feedback written by Kate Horsfield and published by Temple University Press. This book was released on 2006 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Founded in 1976 at the inception of the media arts movement, the Video Data Bank is the leading resource in the United States for videotapes by and about contemporary artists. The collections include seminal works that, seen as a whole, describe the development of video as an art form originating in the late 1960s and continuing to the present.The first printed catalog of the Video Data Bank's complete holdings, Feedback offers readers essays on the history of media arts, the Video Data Bank, video activism, experimental performance art, and the On Art and Artists Collection. It includes 325 frame grabs and stills from some of the collection's most important pieces and outlines the styles and directions taken by artists throughout the entire history of video art. An indispensable guide and reference for artists, students, teachers, and collectors, Feedback is an essential book for any film and video bookshelf.

Database and Expert Systems Applications - DEXA 2021 Workshops

Author : Gabriele Kotsis
Publisher : Springer Nature
ISBN 13 : 3030871010
Total Pages : 257 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Database and Expert Systems Applications - DEXA 2021 Workshops by : Gabriele Kotsis

Download or read book Database and Expert Systems Applications - DEXA 2021 Workshops written by Gabriele Kotsis and published by Springer Nature. This book was released on 2021-09-20 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the workshops held at the 32nd International Conference on Database and Expert Systems Applications, DEXA 2021, held in a virtual format in September 2021: The 12th International Workshop on Biological Knowledge Discovery from Data (BIOKDD 2021), the 5th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems (IWCFS 2021), the 3rd International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2021), the 1st International Workshop on Artificial Intelligence for Clean, Affordable and Reliable Energy Supply (AI-CARES 2021), the 1st International Workshop on Time Ordered Data (ProTime2021), and the 1st International Workshop on AI System Engineering: Math, Modelling and Software (AISys2021). Due to the COVID-19 pandemic the conference and workshops were held virtually. The 23 papers were thoroughly reviewed and selected from 50 submissions, and discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligence.

Data Analytics in the AWS Cloud

Author : Joe Minichino
Publisher : John Wiley & Sons
ISBN 13 : 1119909252
Total Pages : 428 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Data Analytics in the AWS Cloud by : Joe Minichino

Download or read book Data Analytics in the AWS Cloud written by Joe Minichino and published by John Wiley & Sons. This book was released on 2023-04-06 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and accessible roadmap to performing data analytics in the AWS cloud In Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS, accomplished software engineer and data architect Joe Minichino delivers an expert blueprint to storing, processing, analyzing data on the Amazon Web Services cloud platform. In the book, you’ll explore every relevant aspect of data analytics—from data engineering to analysis, business intelligence, DevOps, and MLOps—as you discover how to integrate machine learning predictions with analytics engines and visualization tools. You’ll also find: Real-world use cases of AWS architectures that demystify the applications of data analytics Accessible introductions to data acquisition, importation, storage, visualization, and reporting Expert insights into serverless data engineering and how to use it to reduce overhead and costs, improve stability, and simplify maintenance A can't-miss for data architects, analysts, engineers and technical professionals, Data Analytics in the AWS Cloud will also earn a place on the bookshelves of business leaders seeking a better understanding of data analytics on the AWS cloud platform.

Architecting Microsoft Azure Solutions – Exam Guide 70-535

Author : Sjoukje Zaal
Publisher : Packt Publishing Ltd
ISBN 13 : 1788993527
Total Pages : 409 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Architecting Microsoft Azure Solutions – Exam Guide 70-535 by : Sjoukje Zaal

Download or read book Architecting Microsoft Azure Solutions – Exam Guide 70-535 written by Sjoukje Zaal and published by Packt Publishing Ltd. This book was released on 2018-04-27 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get certified as an Azure architect by acing the 70-535 Architecting Microsoft Solutions (70-535) exam using this comprehensive guide with full coverage of the exam objectives Key Features Learn to successfully design and architect powerful solutions on the Azure Cloud platform Enhance your skills with mock tests and practice questions A detailed certification guide that will help you ace the 70-535 exam with confidence Book Description Architecting Microsoft Azure Solutions: Exam Guide 70-535 will get Azure architects and developers up-to-date with the latest updates on Azure from an architecture and design perspective. The book includes all the topics that are still relevant from the previous 70-534 exam, and is updated with latest topics covered, including Artificial Intelligence, IoT, and architecture styles. This exam guide is divided into six parts, where the first part will give you a good understanding of how to design a compute infrastructure. It also dives into designing networking and data implementations. You will learn about designing solutions for Platform Service and operations. Next, you will be able to secure your resources and data, as well as design a mechanism for governance and policies. You will also understand the objective of designing solutions for Platform Services, by covering Artificial Intelligence, IoT, media services, and messaging solution concepts. Finally, you will cover the designing for operations objective. This objective covers application and platform monitoring, as well as designing alerting strategies and operations automation strategies. By the end of the book, you’ll have met all of the exam objectives, and will have all the information you need to ace the 70-535 exam. You will also have become an expert in designing solutions on Microsoft Azure. What you will learn Use Azure Virtual Machines to design effective VM deployments Implement architecture styles, like serverless computing and microservices Secure your data using different security features and design effective security strategies Design Azure storage solutions using various storage features Create identity management solutions for your applications and resources Architect state-of-the-art solutions using Artificial Intelligence, IoT, and Azure Media Services Use different automation solutions that are incorporated in the Azure platform Who this book is for This book is for architects and experienced developers, who are gearing up for the 70-535 exam. Technical architects interested in learning more about designing Cloud solutions will also find this book useful.

Engineering Data Mesh in Azure Cloud

Author : Aniruddha Deswandikar
Publisher : Packt Publishing Ltd
ISBN 13 : 1805128949
Total Pages : 314 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis Engineering Data Mesh in Azure Cloud by : Aniruddha Deswandikar

Download or read book Engineering Data Mesh in Azure Cloud written by Aniruddha Deswandikar and published by Packt Publishing Ltd. This book was released on 2024-03-29 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Overcome data mesh adoption challenges using the cloud-scale analytics framework and make your data analytics landscape agile and efficient by using standard architecture patterns for diverse analytical workloads Key Features Delve into core data mesh concepts and apply them to real-world situations Safely reassess and redesign your framework for seamless data mesh integration Conquer practical challenges, from domain organization to building data contracts Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDecentralizing data and centralizing governance are practical, scalable, and modern approaches to data analytics. However, implementing a data mesh can feel like changing the engine of a moving car. Most organizations struggle to start and get caught up in the concept of data domains, spending months trying to organize domains. This is where Engineering Data Mesh in Azure Cloud can help. The book starts by assessing your existing framework before helping you architect a practical design. As you progress, you’ll focus on the Microsoft Cloud Adoption Framework for Azure and the cloud-scale analytics framework, which will help you quickly set up a landing zone for your data mesh in the cloud. The book also resolves common challenges related to the adoption and implementation of a data mesh faced by real customers. It touches on the concepts of data contracts and helps you build practical data contracts that work for your organization. The last part of the book covers some common architecture patterns used for modern analytics frameworks such as artificial intelligence (AI). By the end of this book, you’ll be able to transform existing analytics frameworks into a streamlined data mesh using Microsoft Azure, thereby navigating challenges and implementing advanced architecture patterns for modern analytics workloads.What you will learn Build a strategy to implement a data mesh in Azure Cloud Plan your data mesh journey to build a collaborative analytics platform Address challenges in designing, building, and managing data contracts Get to grips with monitoring and governing a data mesh Understand how to build a self-service portal for analytics Design and implement a secure data mesh architecture Resolve practical challenges related to data mesh adoption Who this book is for This book is for chief data officers and data architects of large and medium-size organizations who are struggling to maintain silos of data and analytics projects. Data architects and data engineers looking to understand data mesh and how it can help their organizations democratize data and analytics will also benefit from this book. Prior knowledge of managing centralized analytical systems, as well as experience with building data lakes, data warehouses, data pipelines, data integrations, and transformations is needed to get the most out of this book.

Data Integration for Statewide Transportation Planning

Author : Jessica Guo
Publisher :
ISBN 13 :
Total Pages : 92 pages
Book Rating : 4.:/5 (891 download)

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Book Synopsis Data Integration for Statewide Transportation Planning by : Jessica Guo

Download or read book Data Integration for Statewide Transportation Planning written by Jessica Guo and published by . This book was released on 2010 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Technology-Enabled Innovation for Democracy, Government and Governance

Author : Andrea Kö
Publisher : Springer
ISBN 13 : 3642401600
Total Pages : 266 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Technology-Enabled Innovation for Democracy, Government and Governance by : Andrea Kö

Download or read book Technology-Enabled Innovation for Democracy, Government and Governance written by Andrea Kö and published by Springer. This book was released on 2013-08-21 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second Joint International Conference on Electronic Government and the Information Systems Perspective, and Electronic Democracy, EGOVIS/EDEM 2013, held in Prague, Czech Republic, in August 2013, in conjunction with DEXA 2013. The 19 revised full papers presented were carefully reviewed and selected for inclusion in this volume. They focus on the currently most sensitive areas in the field, such as identity management as a core component in any e-government or participation system, open data, mobile government applications as well as intelligent and learning systems.The papers are organized in the following topical sections: identity management in e-government; intelligent systems in e-government; e-government cases; mobile government; open government data; and e-participation.

Data Engineering with AWS

Author : Gareth Eagar
Publisher : Packt Publishing Ltd
ISBN 13 : 1800569041
Total Pages : 482 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Data Engineering with AWS by : Gareth Eagar

Download or read book Data Engineering with AWS written by Gareth Eagar and published by Packt Publishing Ltd. This book was released on 2021-12-29 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: The missing expert-led manual for the AWS ecosystem — go from foundations to building data engineering pipelines effortlessly Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn about common data architectures and modern approaches to generating value from big data Explore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Learn how to architect and implement data lakes and data lakehouses for big data analytics from a data lakes expert Book DescriptionWritten by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS. As you progress, you’ll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data. By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.What you will learn Understand data engineering concepts and emerging technologies Ingest streaming data with Amazon Kinesis Data Firehose Optimize, denormalize, and join datasets with AWS Glue Studio Use Amazon S3 events to trigger a Lambda process to transform a file Run complex SQL queries on data lake data using Amazon Athena Load data into a Redshift data warehouse and run queries Create a visualization of your data using Amazon QuickSight Extract sentiment data from a dataset using Amazon Comprehend Who this book is for This book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts while gaining practical experience with common data engineering services on AWS will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along.

Data Quality

Author : Prashanth Southekal
Publisher : John Wiley & Sons
ISBN 13 : 1394165242
Total Pages : 311 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Data Quality by : Prashanth Southekal

Download or read book Data Quality written by Prashanth Southekal and published by John Wiley & Sons. This book was released on 2023-01-20 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how to achieve business goals by relying on high-quality, robust data In Data Quality: Empowering Businesses with Analytics and AI, veteran data and analytics professional delivers a practical and hands-on discussion on how to accelerate business results using high-quality data. In the book, you’ll learn techniques to define and assess data quality, discover how to ensure that your firm’s data collection practices avoid common pitfalls and deficiencies, improve the level of data quality in the business, and guarantee that the resulting data is useful for powering high-level analytics and AI applications. The author shows you how to: Profile for data quality, including the appropriate techniques, criteria, and KPIs Identify the root causes of data quality issues in the business apart from discussing the 16 common root causes that degrade data quality in the organization. Formulate the reference architecture for data quality, including practical design patterns for remediating data quality Implement the 10 best data quality practices and the required capabilities for improving operations, compliance, and decision-making capabilities in the business An essential resource for data scientists, data analysts, business intelligence professionals, chief technology and data officers, and anyone else with a stake in collecting and using high-quality data, Data Quality: Empowering Businesses with Analytics and AI will also earn a place on the bookshelves of business leaders interested in learning more about what sets robust data apart from the rest.

The Nimbus 4 Data Catalog: 1 September through 31 October 1970, data orbits 1957-2775 and Interrogation, Recording and Location System (IRIS) balloon tracking experiment data from launch through 27 March 1971

Download The Nimbus 4 Data Catalog: 1 September through 31 October 1970, data orbits 1957-2775 and Interrogation, Recording and Location System (IRIS) balloon tracking experiment data from launch through 27 March 1971 PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 422 pages
Book Rating : 4.3/5 (21 download)

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Book Synopsis The Nimbus 4 Data Catalog: 1 September through 31 October 1970, data orbits 1957-2775 and Interrogation, Recording and Location System (IRIS) balloon tracking experiment data from launch through 27 March 1971 by :

Download or read book The Nimbus 4 Data Catalog: 1 September through 31 October 1970, data orbits 1957-2775 and Interrogation, Recording and Location System (IRIS) balloon tracking experiment data from launch through 27 March 1971 written by and published by . This book was released on 1970 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: