Big Data Management

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  • Author : Peter Ghavami
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Pages : 174 pages
  • ISBN : 3110664062
  • Rating : /5 from reviews
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Download or Read online Big Data Management full in PDF, ePub and kindle. this book written by Peter Ghavami and published by Walter de Gruyter GmbH & Co KG which was released on 09 November 2020 with total page 174 pages. We cannot guarantee that Big Data Management book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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.

Big Data Management

Big Data Management
  • Author : Peter Ghavami
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 09 November 2020
GET THIS BOOK Big Data Management

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

Big Data Management and Processing

Big Data Management and Processing
  • Author : Kuan-Ching Li,Hai Jiang,Albert Y. Zomaya
  • Publisher : CRC Press
  • Release : 19 May 2017
GET THIS BOOK Big Data Management and Processing

From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore

Big Data Management

Big Data Management
  • Author : Fausto Pedro García Márquez,Benjamin Lev
  • Publisher : Springer
  • Release : 15 November 2016
GET THIS BOOK Big Data Management

This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques
  • Author : Öner, Sultan Ceren,Yüregir, Oya H.
  • Publisher : IGI Global
  • Release : 07 December 2018
GET THIS BOOK Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendation systems, and manufacturing processes that support the evaluation of cyber-physical systems, end-to-end engineering, and digitalized control systems.

Healthcare and Big Data Management

Healthcare and Big Data Management
  • Author : Bairong Shen
  • Publisher : Springer
  • Release : 20 October 2017
GET THIS BOOK Healthcare and Big Data Management

The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for both scientific research and economic development. This volume covers a range of aspects, including: big data management for healthcare; physiological and gut microbiota – data collection and analysis; big data standardization and ontology; and personal data privacy and systems level modeling in the healthcare context. The book offers a valuable resource

Open and Big Data Management and Innovation

Open and Big Data Management and Innovation
  • Author : Marijn Janssen,Matti Mäntymäki,Jan Hidders,Bram Klievink,Winfried Lamersdorf,Bastiaan van Loenen,Anneke Zuiderwijk
  • Publisher : Springer
  • Release : 08 October 2015
GET THIS BOOK Open and Big Data Management and Innovation

This book constitutes the refereed conference proceedings of the 14th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2015, held in Delft, The Netherlands, in October 2015. The 40 revised full papers presented together with 1 keynote panel were carefully reviewed and selected from 65 submissions. They are organized in the following topical sections: adoption; big and open data; e-business, e-services,, and e-society; and witness workshop.

Big data management in Sensing

Big data management in Sensing
  • Author : Renny Fernandez,Terrance Frederick Fernandez
  • Publisher : CRC Press
  • Release : 01 September 2022
GET THIS BOOK Big data management in Sensing

The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field

Big Data Management and the Internet of Things for Improved Health Systems

Big Data Management and the Internet of Things for Improved Health Systems
  • Author : Mishra, Brojo Kishore,Kumar, Raghvendra
  • Publisher : IGI Global
  • Release : 19 January 2018
GET THIS BOOK Big Data Management and the Internet of Things for Improved Health Systems

Because of the increased access to high-speed Internet and smart phones, many patients have started to use mobile applications to manage various health needs. These devices and mobile apps are now increasingly used and integrated with telemedicine and telehealth via the medical Internet of Things (IoT). Big Data Management and the Internet of Things for Improved Health Systems is a critical scholarly resource that examines the digital transformation of healthcare. Featuring coverage on a broad range of topics, such as

Applied Big Data Analytics in Operations Management

Applied Big Data Analytics in Operations Management
  • Author : Kumar, Manish
  • Publisher : IGI Global
  • Release : 30 September 2016
GET THIS BOOK Applied Big Data Analytics in Operations Management

Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural

Management in the Era of Big Data

Management in the Era of Big Data
  • Author : Joanna Paliszkiewicz
  • Publisher : CRC Press
  • Release : 15 June 2020
GET THIS BOOK Management in the Era of Big Data

This book is a wonderful collection of chapters that posits how managers need to cope in the Big Data era. It highlights many of the emerging developments in technologies, applications, and trends related to management’s needs in this Big Data era. —Dr. Jay Liebowitz, Harrisburg University of Science and Technology This book presents some meaningful work on Big Data analytics and its applications. Each chapter generates helpful guidance to the readers on Big Data analytics and its applications, challenges,

BIM and Big Data for Construction Cost Management

BIM and Big Data for Construction Cost Management
  • Author : Weisheng Lu,Chi Cheung Lai,Tung Tse
  • Publisher : Routledge
  • Release : 11 October 2018
GET THIS BOOK BIM and Big Data for Construction Cost Management

This book is designed to help practitioners and students in a wide range of construction project management professions to understand what building information modelling (BIM) and big data could mean for them and how they should prepare to work successfully on BIM-compliant projects and maintain their competencies in this essential and expanding area. In this book, the state-of-the-art information technologies that support high-profile BIM implementation are introduced, and case studies show how BIM has integrated core quantity surveying and cost

Big Data Management

Big Data Management
  • Author : Peter Ghavami
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 09 November 2020
GET THIS BOOK Big Data Management

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

Big Data Governance and Perspectives in Knowledge Management

Big Data Governance and Perspectives in Knowledge Management
  • Author : Strydom, Sheryl Kruger,Strydom, Moses
  • Publisher : IGI Global
  • Release : 16 November 2018
GET THIS BOOK Big Data Governance and Perspectives in Knowledge Management

The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including

Big Data Analytics A Management Perspective

Big Data Analytics  A Management Perspective
  • Author : Francesco Corea
  • Publisher : Springer
  • Release : 24 May 2016
GET THIS BOOK Big Data Analytics A Management Perspective

This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and