Principles of Big Data Book

Principles of Big Data


  • Author : Jules J. Berman
  • Publisher : Newnes
  • Release Date : 2013-05-20
  • Genre: Computers
  • Pages : 288
  • ISBN 10 : 9780124047242

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Principles of Big Data Excerpt :

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. Learn general methods for specifying Big Data in a way that is understandable to humans and to computers Avoid the pitfalls in Big Data design and analysis Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources

Principles of Data base Management Book

Principles of Data base Management


  • Author : James Martin
  • Publisher : Prentice Hall
  • Release Date : 1976
  • Genre: Computers
  • Pages : 352
  • ISBN 10 : UOM:39015000504731

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Principles of Data base Management Excerpt :

Organizacija, software in upravljanje podatkovnih zbirk.

Data Mesh Book

Data Mesh


  • Author : Zhamak Dehghani
  • Publisher : O'Reilly Media
  • Release Date : 2022-01-18
  • Genre: Uncategoriezed
  • Pages : 270
  • ISBN 10 : 1492092398

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Data Mesh Excerpt :

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 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, and treats data as a product. This book shows you why and how. Examine the current landscape of data architectures, their underlying characteristics, and failure modes Learn how to divide data (and its supporting technology stacks and architecture) into operational data and analytical data Get a complete introduction to data mesh principles and logical architecture Create a foundation for gaining value from analytical data and historical facts at scale Move beyond a monolithic data lake to a distributed data mesh

Principles and Practice of Big Data Book

Principles and Practice of Big Data


  • Author : Jules J Berman
  • Publisher : Academic Press
  • Release Date : 2018-07-23
  • Genre: Computers
  • Pages : 480
  • ISBN 10 : 9780128156100

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Principles and Practice of Big Data Excerpt :

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines. Presents new methodologies that are widely applicable to just about any project involving large and complex datasets Offers readers informative new case studies across a range scientific and engineering disciplines Provides insights into semantics, identification, de-identification, vulnerabilities and regulatory/legal issues Utilizes a combination of pseudocode and very short snippets of Python code to show readers how they may develop their own projects without downloading or learning new software

Information Governance Principles and Practices for a Big Data Landscape Book

Information Governance Principles and Practices for a Big Data Landscape


  • Author : Chuck Ballard
  • Publisher : IBM Redbooks
  • Release Date : 2014-03-31
  • Genre: Computers
  • Pages : 280
  • ISBN 10 : 9780738439594

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Information Governance Principles and Practices for a Big Data Landscape Excerpt :

This IBM® Redbooks® publication describes how the IBM Big Data Platform provides the integrated capabilities that are required for the adoption of Information Governance in the big data landscape. As organizations embark on new use cases, such as Big Data Exploration, an enhanced 360 view of customers, or Data Warehouse modernization, and absorb ever growing volumes and variety of data with accelerating velocity, the principles and practices of Information Governance become ever more critical to ensure trust in data and help organizations overcome the inherent risks and achieve the wanted value. The introduction of big data changes the information landscape. Data arrives faster than humans can react to it, and issues can quickly escalate into significant events. The variety of data now poses new privacy and security risks. The high volume of information in all places makes it harder to find where these issues, risks, and even useful information to drive new value and revenue are. Information Governance provides an organization with a framework that can align their wanted outcomes with their strategic management principles, the people who can implement those principles, and the architecture and platform that are needed to support the big data use cases. The IBM Big Data Platform, coupled with a framework for Information Governance, provides an approach to build, manage, and gain significant value from the big data landscape.

Big Data  Big Design Book

Big Data Big Design


  • Author : Helen Armstrong
  • Publisher : Chronicle Books
  • Release Date : 2021-11-04
  • Genre: Design
  • Pages : 176
  • ISBN 10 : 9781648960789

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Big Data Big Design Excerpt :

Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design. Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design principles and cultural context at the heart of AI and ML through real-life case studies and examples. This portable, accessible guide will give beginners and more advanced AI and ML users the confidence to make reasoned, thoughtful decisions when implementing ML design solutions.

Big Data and the Welfare State Book

Big Data and the Welfare State


  • Author : Torben Iversen
  • Publisher : Cambridge University Press
  • Release Date : 2022-05-19
  • Genre: Political Science
  • Pages : 230
  • ISBN 10 : 1009151398

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Big Data and the Welfare State Excerpt :

A core principle of the welfare state is that everyone pays taxes or contributions in exchange for universal insurance against social risks such as sickness, old age, unemployment, and plain bad luck. This solidarity principle assumes that everyone is a member of a single national insurance pool, and it is commonly explained by poor and asymmetric information, which undermines markets and creates the perception that we are all in the same boat. Living in the midst of an information revolution, this is no longer a satisfactory approach. This book explores, theoretically and empirically, the consequences of 'big data' for the politics of social protection. Torben Iversen and Philipp Rehm argue that more and better data polarize preferences over public insurance and often segment social insurance into smaller, more homogenous, and less redistributive pools, using cases studies of health and unemployment insurance and statistical analyses of life insurance, credit markets, and public opinion.

Big Data Applications in Industry 4  0 Book

Big Data Applications in Industry 4 0


  • Author : P. Kaliraj
  • Publisher : CRC Press
  • Release Date : 2022
  • Genre: Business & Economics
  • Pages : 422
  • ISBN 10 : 1003175880

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Big Data Applications in Industry 4 0 Excerpt :

"Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including artificial intelligence (AI), Big Data analytics, Internet-of-Things (IoT) and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real world problems. The books features: An introduction to data science and the types of data analytics methods accessible today: An overview of data integration concepts, methodologies, and solutions. A general framework of forecasting principles and applications as well as basic forecasting models including naèive, moving average, and exponential smoothing models. A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies. The application of Industry 4.0 and Big Data in the field of education. The features, prospects, and significant role of Big Data in banking industry, as well as various use cases of Big Data in banking, finance s

A Guide to the Project Management Body of Knowledge  PMBOK   Guide      Seventh Edition and The Standard for Project Management  RUSSIAN  Book

A Guide to the Project Management Body of Knowledge PMBOK Guide Seventh Edition and The Standard for Project Management RUSSIAN


  • Author : Project Management Institute Project Management Institute
  • Publisher : Project Management Institute
  • Release Date : 2021-08-01
  • Genre: Business & Economics
  • Pages : 368
  • ISBN 10 : 9781628257007

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A Guide to the Project Management Body of Knowledge PMBOK Guide Seventh Edition and The Standard for Project Management RUSSIAN Excerpt :

PMBOK&® Guide is the go-to resource for project management practitioners. The project management profession has significantly evolved due to emerging technology, new approaches and rapid market changes. Reflecting this evolution, The Standard for Project Management enumerates 12 principles of project management and the PMBOK&® Guide &– Seventh Edition is structured around eight project performance domains.This edition is designed to address practitioners' current and future needs and to help them be more proactive, innovative and nimble in enabling desired project outcomes.This edition of the PMBOK&® Guide:•Reflects the full range of development approaches (predictive, adaptive, hybrid, etc.);•Provides an entire section devoted to tailoring the development approach and processes;•Includes an expanded list of models, methods, and artifacts;•Focuses on not just delivering project outputs but also enabling outcomes; and• Integrates with PMIstandards+™ for information and standards application content based on project type, development approach, and industry sector.

Principles of Big Data Book

Principles of Big Data


  • Author : Jules J. Berman
  • Publisher : Newnes
  • Release Date : 2013-05-20
  • Genre: Business & Economics
  • Pages : 288
  • ISBN 10 : 0124047246

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Principles of Big Data Excerpt :

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. • Learn general methods for specifying Big Data in a way that is understandable to humans and to computers. • Avoid the pitfalls in Big Data design and analysis. • Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources.

Bioinformatics Book

Bioinformatics


  • Author : Dev Bukhsh Singh
  • Publisher : Academic Press
  • Release Date : 2021-10-21
  • Genre: Business & Economics
  • Pages : 510
  • ISBN 10 : 9780323900058

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Bioinformatics Excerpt :

Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics. It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities. Covers basic and more advanced developments of bioinformatics with a diverse and interdisciplinary approach to fulfill the needs of readers from different backgrounds Explains in a practical way how to decode complex biological problems using computational approaches and resources Brings case studies, real-world examples and several protocols to guide the readers with a problem-solving approach

Marketing Analytics Book

Marketing Analytics


  • Author : Robert W. Palmatier
  • Publisher : Bloomsbury Publishing
  • Release Date : 2022-05-05
  • Genre: Business & Economics
  • Pages : 432
  • ISBN 10 : 9781352013191

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Marketing Analytics Excerpt :

Using data analytics and big data in marketing and strategic decision-making is a key priority at many organisations and subsequently a vital part of the skills set for a successful marketing professional operating today. Authored by world-leading authorities in the field, Marketing Analytics provides a thoroughly contemporary overview of marketing analytics and coverage of a wide range of cutting edge data analytics techniques. It offers a powerful framework, organising data analysis techniques around solving four underlying marketing problems: the 'First Principles of Marketing'. In this way, it offers an action-oriented, applied approach to managing marketing complexities and issues, and a sound grounding in making effective decisions based on strong evidence. It is supported by vivid international cases and examples, and applied pedagogical features. The companion website offers comprehensive classroom instruction slides, videos including walk throughs on all the examples and methods in the book, data sets, a test bank and a solution guide for instructors.

Research Anthology on Big Data Analytics  Architectures  and Applications Book

Research Anthology on Big Data Analytics Architectures and Applications


  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2021-09-24
  • Genre: Computers
  • Pages : 1988
  • ISBN 10 : 9781668436639

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Research Anthology on Big Data Analytics Architectures and Applications Excerpt :

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Handbook of Research on Big Data Storage and Visualization Techniques Book

Handbook of Research on Big Data Storage and Visualization Techniques


  • Author : Segall, Richard S.
  • Publisher : IGI Global
  • Release Date : 2018-01-05
  • Genre: Computers
  • Pages : 917
  • ISBN 10 : 9781522531432

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Handbook of Research on Big Data Storage and Visualization Techniques Excerpt :

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Big Data Management Book

Big Data Management


  • Author : Peter Ghavami
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2020-11-09
  • Genre: Business & Economics
  • Pages : 174
  • ISBN 10 : 9783110664065

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Big Data Management Excerpt :

Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.