Managing Big Data Effectively
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Managing Big Data Effectively
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Author : Bhima Asan
language : en
Publisher: Educohack Press
Release Date : 2025-01-03
Managing Big Data Effectively written by Bhima Asan and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
The illustrations in this book are created by “Team Educohack”. Managing Big Data Effectively bridges the gap between analytical principles, business practices, and Big Data. This book provides a comprehensive interface between engineering, technology, and management's organizational, administrative, and planning skills. It also complements other disciplines such as economics, finance, marketing, decision-making, and risk analysis. We designed this book for engineers, economists, researchers, and professionals who aim to develop new management skills or integrate management principles into their work. The authors offer original research and case studies that illustrate successful applications of management techniques in real-world scenarios involving Big Data. Managing Big Data Effectively is an invaluable resource for understanding how to synthesize Big Data with management practices to drive business success and innovation.
Effective Big Data Management And Opportunities For Implementation
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Author : Singh, Manoj Kumar
language : en
Publisher: IGI Global
Release Date : 2016-06-20
Effective Big Data Management And Opportunities For Implementation written by Singh, Manoj Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-20 with Computers categories.
“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.
Managing Big Data In Cloud Computing Environments
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Author : Ma, Zongmin
language : en
Publisher: IGI Global
Release Date : 2016-02-02
Managing Big Data In Cloud Computing Environments written by Ma, Zongmin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-02 with Computers categories.
Cloud computing has proven to be a successful paradigm of service-oriented computing, and has revolutionized the way computing infrastructures are abstracted and used. By means of cloud computing technology, massive data can be managed effectively and efficiently to support various aspects of problem solving and decision making. Managing Big Data in Cloud Computing Environments explores the latest advancements in the area of data management and analysis in the cloud. Providing timely, research-based information relating to data storage, sharing, extraction, and indexing in cloud systems, this publication is an ideal reference source for graduate students, IT specialists, researchers, and professionals working in the areas of data and knowledge engineering.
Managing Big Data Integration In The Public Sector
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Author : Aggarwal, Anil
language : en
Publisher: IGI Global
Release Date : 2015-11-12
Managing Big Data Integration In The Public Sector written by Aggarwal, Anil and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-12 with Computers categories.
The era of rapidly progressing technology we live in generates vast amounts of data; however, the challenge exists in understanding how to aggressively monitor and make sense of this data. Without a better understanding of how to collect and manage such large data sets, it becomes increasingly difficult to successfully utilize them. Managing Big Data Integration in the Public Sector is a pivotal reference source for the latest scholarly research on the application of big data analytics in government contexts and identifies various strategies in which big data platforms can generate improvements within that sector. Highlighting issues surrounding data management, current models, and real-world applications, this book is ideally designed for professionals, government agencies, researchers, and non-profit organizations interested in the benefits of big data analytics applied in the public sphere.
Aws Certified Big Data Specialty Bds C01
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Aws Certified Big Data Specialty Bds C01 written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Study Aids categories.
Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Big Data Analytics For Intelligent Healthcare Management
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Author : Nilanjan Dey
language : en
Publisher: Academic Press
Release Date : 2019-04-15
Big Data Analytics For Intelligent Healthcare Management written by Nilanjan Dey and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-15 with Science categories.
Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. - Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more - Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. - Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more
Database Management For Efficient Operations
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Author : James Fulton
language : en
Publisher: Fulton Publishing Agency
Release Date :
Database Management For Efficient Operations written by James Fulton and has been published by Fulton Publishing Agency this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Database Management for Efficient Operations is a comprehensive guide that explores best practices in database management to enhance organizational efficiency. The book delves into various database models, emphasizes the importance of data integrity and security, and offers practical strategies for optimizing performance. Through real-world case studies and actionable insights, it highlights the role of effective database management in decision-making and operational processes. Readers will gain a solid understanding of how to leverage database technologies to streamline workflows, reduce costs, and improve overall business outcomes, making it an essential resource for professionals in the field.
Data Pioneers Unlocking Big Data Engineering Potential
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Author : Ravi Kumar Burila
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-06-19
Data Pioneers Unlocking Big Data Engineering Potential written by Ravi Kumar Burila and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-19 with Business & Economics categories.
The era of big data has revolutionized industries, but navigating its complexities requires a deep understanding of engineering principles and cutting-edge tools. Data Pioneers: Unlocking Big Data Engineering Potential serves as a comprehensive guide for data engineers and IT professionals eager to master the art and science of big data systems. This book covers the evolution of big data, emphasizing core concepts like structured, semi-structured, and unstructured data while introducing readers to essential frameworks, including Hadoop, Apache Spark, and Delta Lake. Dive into the design and architecture of scalable pipelines, comparing batch and real- time processing, and learn how to harness tools like Kafka, Airflow, and NiFi to orchestrate seamless data flows. Beyond the technical, the book addresses vital aspects like data quality, governance, and security, offering strategies to ensure data accuracy, lineage, and compliance. From integrating data across APIs, databases, and sensors to leveraging cloud-native architectures for scalability, this guide equips readers with the knowledge to optimize every aspect of their data ecosystems. With practical insights, advanced analytics techniques, and real-world case studies, Data Pioneers delves into performance optimization, resource management, and the future of big data, exploring trends like AI integration and data fabric concepts. Whether you ’ re a seasoned engineer or new to the field, this book provides a roadmap to unlocking the full potential of big data engineering, driving innovation, and achieving sustainable growth in today’s data- driven world.
Big Data Analytics
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Author : V. B. Aggarwal
language : en
Publisher: Springer
Release Date : 2017-10-03
Big Data Analytics written by V. B. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-03 with Computers categories.
This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Big Data Analytics. The contents of this book will be useful to researchers and students alike.
Artificial Intelligence For Cybersecurity
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Author : Bojan Kolosnjaji
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-31
Artificial Intelligence For Cybersecurity written by Bojan Kolosnjaji and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Computers categories.
Gain well-rounded knowledge of AI methods in cybersecurity and obtain hands-on experience in implementing them to bring value to your organization Key Features Familiarize yourself with AI methods and approaches and see how they fit into cybersecurity Learn how to design solutions in cybersecurity that include AI as a key feature Acquire practical AI skills using step-by-step exercises and code examples Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionArtificial intelligence offers data analytics methods that enable us to efficiently recognize patterns in large-scale data. These methods can be applied to various cybersecurity problems, from authentication and the detection of various types of cyberattacks in computer networks to the analysis of malicious executables. Written by a machine learning expert, this book introduces you to the data analytics environment in cybersecurity and shows you where AI methods will fit in your cybersecurity projects. The chapters share an in-depth explanation of the AI methods along with tools that can be used to apply these methods, as well as design and implement AI solutions. You’ll also examine various cybersecurity scenarios where AI methods are applicable, including exercises and code examples that’ll help you effectively apply AI to work on cybersecurity challenges. The book also discusses common pitfalls from real-world applications of AI in cybersecurity issues and teaches you how to tackle them. By the end of this book, you’ll be able to not only recognize where AI methods can be applied, but also design and execute efficient solutions using AI methods.What you will learn Recognize AI as a powerful tool for intelligence analysis of cybersecurity data Explore all the components and workflow of an AI solution Find out how to design an AI-based solution for cybersecurity Discover how to test various AI-based cybersecurity solutions Evaluate your AI solution and describe its advantages to your organization Avoid common pitfalls and difficulties when implementing AI solutions Who this book is for This book is for machine learning practitioners looking to apply their skills to overcome cybersecurity challenges. Cybersecurity workers who want to leverage machine learning methods will also find this book helpful. Fundamental concepts of machine learning and beginner-level knowledge of Python programming are needed to understand the concepts present in this book. Whether you’re a student or an experienced professional, this book offers a unique and valuable learning experience that will enable you to protect your network and data against the ever-evolving threat landscape.