Demystifying Data

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Author : Pradeep N
Publisher : Academic Press
ISBN 13 : 0128220449
Total Pages : 374 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics by : Pradeep N

Download or read book Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics written by Pradeep N and published by Academic Press. This book was released on 2021-06-10 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. - Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies - Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics - Unique case study approach provides readers with insights for practical clinical implementation

Demystifying Big Data and Machine Learning for Healthcare

Author : Prashant Natarajan
Publisher : CRC Press
ISBN 13 : 1315389304
Total Pages : 227 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Demystifying Big Data and Machine Learning for Healthcare by : Prashant Natarajan

Download or read book Demystifying Big Data and Machine Learning for Healthcare written by Prashant Natarajan and published by CRC Press. This book was released on 2017-02-15 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Big Data Demystified

Author : David Stephenson
Publisher : Pearson UK
ISBN 13 : 1292218126
Total Pages : 178 pages
Book Rating : 4.2/5 (922 download)

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Book Synopsis Big Data Demystified by : David Stephenson

Download or read book Big Data Demystified written by David Stephenson and published by Pearson UK. This book was released on 2018-02-19 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.

Demystifying AI for the Enterprise

Author : Prashant Natarajan
Publisher : CRC Press
ISBN 13 : 1351032925
Total Pages : 465 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Demystifying AI for the Enterprise by : Prashant Natarajan

Download or read book Demystifying AI for the Enterprise written by Prashant Natarajan and published by CRC Press. This book was released on 2021-12-30 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.

Web Analytics Demystified

Author : Eric T. Peterson
Publisher : Bookrenter
ISBN 13 : 9780974358420
Total Pages : 256 pages
Book Rating : 4.3/5 (584 download)

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Book Synopsis Web Analytics Demystified by : Eric T. Peterson

Download or read book Web Analytics Demystified written by Eric T. Peterson and published by Bookrenter. This book was released on 2004 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Demystifying Climate Models

Author : Andrew Gettelman
Publisher : Springer
ISBN 13 : 3662489597
Total Pages : 282 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Demystifying Climate Models by : Andrew Gettelman

Download or read book Demystifying Climate Models written by Andrew Gettelman and published by Springer. This book was released on 2016-04-09 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demystifies the models we use to simulate present and future climates, allowing readers to better understand how to use climate model results. In order to predict the future trajectory of the Earth’s climate, climate-system simulation models are necessary. When and how do we trust climate model predictions? The book offers a framework for answering this question. It provides readers with a basic primer on climate and climate change, and offers non-technical explanations for how climate models are constructed, why they are uncertain, and what level of confidence we should place in them. It presents current results and the key uncertainties concerning them. Uncertainty is not a weakness but understanding uncertainty is a strength and a key part of using any model, including climate models. Case studies of how climate model output has been used and how it might be used in the future are provided. The ultimate goal of this book is to promote a better understanding of the structure and uncertainties of climate models among users, including scientists, engineers and policymakers.

Demystifying Big Data Analytics for Industries and Smart Societies

Author : Keshav Kaushik
Publisher : CRC Press
ISBN 13 : 1000936880
Total Pages : 247 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Demystifying Big Data Analytics for Industries and Smart Societies by : Keshav Kaushik

Download or read book Demystifying Big Data Analytics for Industries and Smart Societies written by Keshav Kaushik and published by CRC Press. This book was released on 2023-09-28 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics. Key Features: Comprehensive coverage of the fundamentals of big data analytics In-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems. Practical examples and case studies to help readers understand complex concepts. Coverage of the use of big data analytics in various industries, including healthcare, energy management, and agriculture Discussion of challenges and legal frameworks involved in big data analytics. Clear and concise language that is easy to understand. This book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.

Industry 4.0, AI, and Data Science

Author : Vikram Bali
Publisher : CRC Press
ISBN 13 : 1000413454
Total Pages : 283 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Industry 4.0, AI, and Data Science by : Vikram Bali

Download or read book Industry 4.0, AI, and Data Science written by Vikram Bali and published by CRC Press. This book was released on 2021-07-20 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide.

Measure, Use, Improve!

Author : Christina A. Russell
Publisher : IAP
ISBN 13 : 1648022553
Total Pages : 357 pages
Book Rating : 4.6/5 (48 download)

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Book Synopsis Measure, Use, Improve! by : Christina A. Russell

Download or read book Measure, Use, Improve! written by Christina A. Russell and published by IAP. This book was released on 2020-10-01 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Measure, Use, Improve! Data Use in Out-of-School Time shares the experience and wisdom from a broad cross-section of out-of-school time professionals, ranging from internal evaluators, to funders, to researchers, to policy advocates. Key themes of the volume include building support for learning and evaluation within out-of-school time programs, creating and sustaining continuous quality improvement efforts, authentically engaging young people and caregivers in evaluation, and securing funder support for learning and evaluation. This volume will be particularly useful to leadership-level staff in out-of-school time organizations that are thinking about deepening their own learning and evaluation systems, yet aren’t sure where to start. Authors share conceptual frameworks that have helped inform their thinking, walk through practical examples of how they use data in out-of-school time, and offer advice to colleagues.

Effective Data Storytelling

Author : Brent Dykes
Publisher : John Wiley & Sons
ISBN 13 : 1119615720
Total Pages : 338 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Effective Data Storytelling by : Brent Dykes

Download or read book Effective Data Storytelling written by Brent Dykes and published by John Wiley & Sons. This book was released on 2019-12-10 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data stories Learn the fundamental elements of a data story and key audience drivers Understand the differences between how the brain processes facts and narrative Structure your findings as a data narrative, using a four-step storyboarding process Incorporate the seven essential principles of better visual storytelling into your work Avoid common data storytelling mistakes by learning from historical and modern examples Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators.

Hyperconverged Infrastructure Data Centers

Author : Sam Halabi
Publisher : Cisco Press
ISBN 13 : 0134997921
Total Pages : 588 pages
Book Rating : 4.1/5 (349 download)

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Book Synopsis Hyperconverged Infrastructure Data Centers by : Sam Halabi

Download or read book Hyperconverged Infrastructure Data Centers written by Sam Halabi and published by Cisco Press. This book was released on 2019-01-18 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improve Manageability, Flexibility, Scalability, and Control with Hyperconverged Infrastructure Hyperconverged infrastructure (HCI) combines storage, compute, and networking in one unified system, managed locally or from the cloud. With HCI, you can leverage the cloud’s simplicity, flexibility, and scalability without losing control or compromising your ability to scale. In Hyperconverged Infrastructure Data Centers, best-selling author Sam Halabi demystifies HCI technology, outlines its use cases, and compares solutions from a vendor-neutral perspective. He guides you through evaluation, planning, implementation, and management, helping you decide where HCI makes sense, and how to migrate legacy data centers without disrupting production systems. The author brings together all the HCI knowledge technical professionals and IT managers need, whether their background is in storage, compute, virtualization, switching/routing, automation, or public cloud platforms. He explores leading solutions including the Cisco HyperFlex platform, VMware vSAN, Nutanix Enterprise Cloud, Cisco Application-Centric Infrastructure (ACI), VMware’s NSX, the open source OpenStack and Open vSwitch (OVS) / Open Virtual Network (OVN), and Cisco CloudCenter for multicloud management. As you explore discussions of automation, policy management, and other key HCI capabilities, you’ll discover powerful new opportunities to improve control, security, agility, and performance. Understand and overcome key limits of traditional data center designs Discover improvements made possible by advances in compute, bus interconnect, virtualization, and software-defined storage Simplify rollouts, management, and integration with converged infrastructure (CI) based on the Cisco Unified Computing System (UCS) Explore HCI functionality, advanced capabilities, and benefits Evaluate key HCI applications, including DevOps, virtual desktops, ROBO, edge computing, Tier 1 enterprise applications, backup, and disaster recovery Simplify application deployment and policy setting by implementing a new model for provisioning, deployment, and management Plan, integrate, deploy, provision, manage, and optimize the Cisco HyperFlex hyperconverged infrastructure platform Assess alternatives such as VMware vSAN, Nutanix, open source OpenStack, and OVS/OVN, and compare architectural differences with HyperFlex Compare Cisco ACI (Application- Centric Infrastructure) and VMware NSX approaches to network automation, policies, and security This book is part of the Networking Technology Series from Cisco Press, which offers networking professionals valuable information for constructing efficient networks, understanding new technologies, and building successful careers.

Artificial Intelligence, Machine Learning, and Data Science Technologies

Author : Neeraj Mohan
Publisher : CRC Press
ISBN 13 : 1000460525
Total Pages : 311 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence, Machine Learning, and Data Science Technologies by : Neeraj Mohan

Download or read book Artificial Intelligence, Machine Learning, and Data Science Technologies written by Neeraj Mohan and published by CRC Press. This book was released on 2021-10-11 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.

C#

Author : Ryan Turner
Publisher : Publishing Factory
ISBN 13 :
Total Pages : 383 pages
Book Rating : 4./5 ( download)

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Book Synopsis C# by : Ryan Turner

Download or read book C# written by Ryan Turner and published by Publishing Factory . This book was released on 2020-04-18 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you searching for a coding language that will work for you? Do you want to create your own website of desktop applications? If so, C# is the right choice for you. When it comes to programming and choosing a coding language there are so many on the market that the beginner is faced with a bewildering choice and it can appear that they all do much the same job. But if creating visually elegant and functional applications is what you want, then C# is the one for you. Now, with C#: 2 books in 1 - The Ultimate Beginner's & Intermediate Guide to Learn C# Programming Step by Step, even a complete beginner can start to understand and develop programs and increase his knowledge with it through chapters on: Book 1 • What C# is • An overview of the features • Program structure and basic syntax • Working with variables • The conditional statements • C# methods • 7 data types supported by C# • Accurate use of operators and conditional statements • Proper use of arrays, structures, and encapsulations • And lots more… Book 2 • How C# was conceived and where it came from • C# interfaces and how to use them • Advanced decision statements and flow control • The different functions that are available • An introduction to garbage collections • Asynchronous programming and what it does • And much more… Book 3 • An insight into advanced C# languages • Dealing with unary and binary operators overload • Simple ways to fix name clashes • How to create and apply custom attributes • The benefits of CIL and dynamic assemblies • Graphics rendering made easy • The purpose and uses for NET core With the information contained in this book you could be on your way to learning how this guide can develop and expand on your programming knowledge and lead you to exciting new discoveries in this fascinating subject. This book will help you take the next step up from the basics of C# quickly and seamlessly. Get a copy now and begin your journey to a better and simpler world of programming.

How Colleges Use Data

Author : Jonathan S. Gagliardi
Publisher : JHU Press
ISBN 13 : 1421445204
Total Pages : 233 pages
Book Rating : 4.4/5 (214 download)

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Book Synopsis How Colleges Use Data by : Jonathan S. Gagliardi

Download or read book How Colleges Use Data written by Jonathan S. Gagliardi and published by JHU Press. This book was released on 2022-12-20 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: What does a culture of evidence really look like in higher education? The use of big data and the rapid acceleration of storage and analytics tools have led to a revolution of data use in higher education. Institutions have moved from relying largely on historical trends and descriptive data to the more widespread adoption of predictive and prescriptive analytics. Despite this rapid evolution of data technology and analytics tools, universities and colleges still face a number of obstacles in their data use. In How Colleges Use Data, Jonathan S. Gagliardi presents college and university leaders with an important resource to help cultivate, implement, and sustain a culture of evidence through the ethical and responsible use and adoption of data and analytics. Gagliardi provides a broad context for data use among colleges, including key concepts and use cases related to data and analytics. He also addresses the different dimensions of data use and highlights the promise and perils of the widespread adoption of data and analytics, in addition to important elements of implementing and scaling a culture of evidence. Demystifying data and analytics, the book helps faculty and administrators understand important topics, including: • How to define institutional aspirations using data • Equity and student success • Strategic finance and resource optimization • Academic quality and integrity • Data governance and utility • Implicit and explicit bias in data • Implementation and planning • How data will be used in the future How Colleges Use Data helps college and university leaders understand what a culture of evidence in higher education truly looks like.

Demystifying Smart Cities

Author : Anders Lisdorf
Publisher : Apress
ISBN 13 : 1484253779
Total Pages : 237 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Demystifying Smart Cities by : Anders Lisdorf

Download or read book Demystifying Smart Cities written by Anders Lisdorf and published by Apress. This book was released on 2019-12-09 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of Smart Cities is accurately regarded as a potentially transformative power all over the world. Bustling metropolises infused with the right combination of the Internet of Things, artificial intelligence, big data, and blockchain promise to improve both our daily lives and larger structural operations at a city government level. The practical realities pose challenges that a significant sector of the tech industry now revolves around solving. Cut through the hype with Demystifying Smart Cities. In this book, the real-world implementations of successful Smart City technology in places like New York, Amsterdam, Copenhagen, and more are analyzed, and insights are gained from recorded attempts in similar urban centers that have not reached their full Smart City potential. From the logistical complications of securing thousands of devices to collect millions of pieces of data daily, to the complicated governmental processes that are required to install Smart City tech, Demystifying Smart Cities covers every aspect of this revolutionary modern technology. This book is the essential guide for anybody who touches a step of the Smart City process—from salespeople representing product vendors to city government officials to data scientists—and provides a more well-rounded understanding of the full positive and negative impacts of Smart City technology deployment. Demystifying Smart Cities evaluates how our cities can behave in a more intelligent way, and how producing novel solutions can pose equally novel challenges. The future of the metropolis is here, and the expert knowledge in the book is your greatest asset. What You'll LearnPractical issues and challenges of managing thousands and millions of IoT devices in a city The different types of city data and how to manage and secure it The possibilities of utilizing AI into a city (and how it differs from working with the private sector) Examples of how to make cities smarter with technology Who This Book Is For Primarily for those already familiar with the hype of smart city technologies but not the details of its implementation, along with technologists interested in learning how city government works when integrating technology. Also, people working for smart city vendors, especially sales people and product managers who need to understand their target market.

Creating Data Literate Students

Author : Kristin Fontichiaro
Publisher : Maize Books
ISBN 13 : 9781607854241
Total Pages : 0 pages
Book Rating : 4.8/5 (542 download)

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Book Synopsis Creating Data Literate Students by : Kristin Fontichiaro

Download or read book Creating Data Literate Students written by Kristin Fontichiaro and published by Maize Books. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creating Data Literate Students provides high school librarians and educators with foundational domain knowledge to teach a new subset of information literacy skills -- data and statistical literacy, including: statistics and data comprehension; data as argument; and data visualization. Data -- both raw and displayed in visualizations -- can clarify or confuse, confirm or deny, persuade or deter. Students often learn that numbers are objective, though data in the real world is rarely so. In fact, visualized data -- even from authoritative sources -- can sometimes be anything but objective. Librarians and classroom educators need to be as fluent with quantitative data as they are with text in order to support high schoolers as they engage with data in formal and informal settings. We asked contributors to this volume -- experts in high school curriculum, information literacy and/or data literacy -- to explore the intersections between data and curriculum and identify high-impact strategies for demystifying data for educators and students alike.

Data Lakes

Author : Anne Laurent
Publisher : John Wiley & Sons
ISBN 13 : 1119720427
Total Pages : 250 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Data Lakes by : Anne Laurent

Download or read book Data Lakes written by Anne Laurent and published by John Wiley & Sons. This book was released on 2020-04-09 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics discussed are the data-driven architecture of a data lake; the management of metadata supplying key information about the stored data, master data and reference data; the roles of linked data and fog computing in a data lake ecosystem; and how gravity principles apply in the context of data lakes. A variety of case studies are also presented, thus providing the reader with practical examples of data lake management.