Guide to Big Data Applications

Guide to Big Data Applications
Author: S. Srinivasan
Publsiher: Springer
Total Pages: 565
Release: 2017-05-25
ISBN: 3319538179
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Guide to Big Data Applications Book Excerpt:

This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Big Data Analytics and Cloud Computing

Big Data Analytics and Cloud Computing
Author: Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Kiran Kumari Patil
Publsiher: MileStone Research Publications
Total Pages: 101
Release: 2021-09-05
ISBN: 9354738281
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Analytics and Cloud Computing Book Excerpt:

Big data analytics and cloud computing is the fastest growing technologies in current era. This text book serves as a purpose in providing an understanding of big data principles and framework at the beginner?s level. The text book covers various essential concepts of big-data analytics and processing tools such as HADOOP and YARN. The Textbook covers an analogical understanding on bridging cloud computing with big-data technologies with essential cloud infrastructure protocol and ecosystem concepts. PART I: Hadoop Distributed File System Basics, Running Example Programs and Benchmarks, Hadoop MapReduce Framework Essential Hadoop Tools, Hadoop YARN Applications, Managing Hadoop with Apache Ambari, Basic Hadoop Administration Procedures PART II: Introduction to Cloud Computing: Origins and Influences, Basic Concepts and Terminology, Goals and Benefits, Risks and Challenges. Fundamental Concepts and Models: Roles and Boundaries, Cloud Characteristics, Cloud Delivery Models, Cloud Deployment Models. Cloud Computing Technologies:Broadband networks and internet architecture, data center technology, virtualization technology, web technology, multi-tenant technology, service Technology Cloud Infrastructure Mechanisms:Logical Network Perimeter, Virtual Server, Cloud Storage Device, Cloud Usage Monitor, Resource Replication, Ready-made environment

Big Data Architect s Handbook

Big Data Architect   s Handbook
Author: Syed Muhammad Fahad Akhtar
Publsiher: Packt Publishing Ltd
Total Pages: 486
Release: 2018-06-21
ISBN: 1788836383
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Architect s Handbook Book Excerpt:

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured data Book Description The big data architects are the “masters” of data, and hold high value in today’s market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights. Big Data Architect’s Handbook takes you through developing a complete, end-to-end big data pipeline, which will lay the foundation for you and provide the necessary knowledge required to be an architect in big data. Right from understanding the design considerations to implementing a solid, efficient, and scalable data pipeline, this book walks you through all the essential aspects of big data. It also gives you an overview of how you can leverage the power of various big data tools such as Apache Hadoop and ElasticSearch in order to bring them together and build an efficient big data solution. By the end of this book, you will be able to build your own design system which integrates, maintains, visualizes, and monitors your data. In addition, you will have a smooth design flow in each process, putting insights in action. What you will learn Learn Hadoop Ecosystem and Apache projects Understand, compare NoSQL database and essential software architecture Cloud infrastructure design considerations for big data Explore application scenario of big data tools for daily activities Learn to analyze and visualize results to uncover valuable insights Build and run a big data application with sample code from end to end Apply Machine Learning and AI to perform big data intelligence Practice the daily activities performed by big data architects Who this book is for Big Data Architect’s Handbook is for you if you are an aspiring data professional, developer, or IT enthusiast who aims to be an all-round architect in big data. This book is your one-stop solution to enhance your knowledge and carry out easy to complex activities required to become a big data architect.

Big Data

Big Data
Author: Fei Hu
Publsiher: CRC Press
Total Pages: 463
Release: 2016-04-27
ISBN: 1498734871
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Book Excerpt:

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi

Technologies and Applications for Big Data Value

Technologies and Applications for Big Data Value
Author: Edward Curry
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030783073
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Technologies and Applications for Big Data Value Book Excerpt:

Data Processing Techniques and Applications for Cyber Physical Systems DPTA 2019

Data Processing Techniques and Applications for Cyber Physical Systems  DPTA 2019
Author: Chuanchao Huang,Yu-Wei Chan,Neil Yen
Publsiher: Springer Nature
Total Pages: 2059
Release: 2020-02-03
ISBN: 9811514682
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Data Processing Techniques and Applications for Cyber Physical Systems DPTA 2019 Book Excerpt:

This book covers cutting-edge and advanced research on data processing techniques and applications for Cyber-Physical Systems. Gathering the proceedings of the International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), held in Shanghai, China on November 15–16, 2019, it examines a wide range of topics, including: distributed processing for sensor data in CPS networks; approximate reasoning and pattern recognition for CPS networks; data platforms for efficient integration with CPS networks; and data security and privacy in CPS networks. Outlining promising future research directions, the book offers a valuable resource for students, researchers and professionals alike, while also providing a useful reference guide for newcomers to the field.

The Digital Twin Paradigm for Smarter Systems and Environments the Industry Use Cases

The Digital Twin Paradigm for Smarter Systems and Environments  the Industry Use Cases
Author: Preetha Evangeline
Publsiher: Academic Press
Total Pages: 384
Release: 2020-02
ISBN: 0128187565
Category: Electronic Book
Language: EN, FR, DE, ES & NL

The Digital Twin Paradigm for Smarter Systems and Environments the Industry Use Cases Book Excerpt:

The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, Volume 117, the latest volume in the Advances in Computers series, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters vividly illustrate how the emerging discipline of digital twin is strategically contributing to various digital transformation initiatives. Specific chapters cover Demystifying the Digital Twin Paradigm, Digital Twin Technology for "Smarter Manufacturing", The Fog Computing/ Edge Computing to leverage Digital Twin, The industry use cases for the Digital Twin idea, Enabling Digital Twin at the Edge, The Industrial Internet of Things (IIOT), and much more. Provides in-depth descriptions of digital transformation technologies and tools Covers various research accomplishments in this flourishing field of relevance Includes many detailed industry use cases with all the right information

On the Move to Meaningful Internet Systems OTM 2018 Workshops

On the Move to Meaningful Internet Systems  OTM 2018 Workshops
Author: Christophe Debruyne,Hervé Panetto,Wided Guédria,Peter Bollen,Ioana Ciuciu,Robert Meersman
Publsiher: Springer
Total Pages: 261
Release: 2019-02-06
ISBN: 3030116832
Category: Computers
Language: EN, FR, DE, ES & NL

On the Move to Meaningful Internet Systems OTM 2018 Workshops Book Excerpt:

This volume constitutes the refereed proceedings of the Confederated International International Workshop on Enterprise Integration, Interoperability and Networking (EI2N ), Fact Based Modeling ( FBM), Industry Case Studies Program ( ICSP ), and International Workshop on Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society (Meta4eS), held as part of OTM 2018 in October 2018 in Valletta, Malta. As the three main conferences and the associated workshops all share the distributed aspects of modern computing systems, they experience the application pull created by the Internet and by the so-called Semantic Web, in particular developments of Big Data, increased importance of security issues, and the globalization of mobile-based technologies.

Research Anthology on Big Data Analytics Architectures and Applications

Research Anthology on Big Data Analytics  Architectures  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1988
Release: 2021-09-24
ISBN: 1668436639
Category: Computers
Language: EN, FR, DE, ES & NL

Research Anthology on Big Data Analytics Architectures and Applications Book 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.

Big Data For Dummies

Big Data For Dummies
Author: Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman
Publsiher: John Wiley & Sons
Total Pages: 336
Release: 2013-04-02
ISBN: 1118644174
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data For Dummies Book Excerpt:

Find the right big data solution for your business ororganization Big data management is one of the major challenges facingbusiness, industry, and not-for-profit organizations. Data setssuch as customer transactions for a mega-retailer, weather patternsmonitored by meteorologists, or social network activity can quicklyoutpace the capacity of traditional data management tools. If youneed to develop or manage big data solutions, you'll appreciate howthese four experts define, explain, and guide you through this newand often confusing concept. You'll learn what it is, why itmatters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importanceto businesses, not-for-profit organizations, government, and ITprofessionals Authors are experts in information management, big data, and avariety of solutions Explains big data in detail and discusses how to select andimplement a solution, security concerns to consider, data storageand presentation issues, analytics, and much more Provides essential information in a no-nonsense,easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helpsyou take charge of big data solutions for your organization.

Data Intensive Computing Applications for Big Data

Data Intensive Computing Applications for Big Data
Author: M. Mittal,V.E. Balas,D.J. Hemanth
Publsiher: IOS Press
Total Pages: 618
Release: 2018-01-31
ISBN: 1614998140
Category: Computers
Language: EN, FR, DE, ES & NL

Data Intensive Computing Applications for Big Data Book Excerpt:

The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.

EU Law in Populist Times

EU Law in Populist Times
Author: Francesca Bignami
Publsiher: Cambridge University Press
Total Pages: 585
Release: 2019-12-31
ISBN: 1108485081
Category: Law
Language: EN, FR, DE, ES & NL

EU Law in Populist Times Book Excerpt:

A state-of-the-art analysis of the contentious areas of EU law that have been put in the spotlight by populism.

Application of Big Data for National Security

Application of Big Data for National Security
Author: Babak Akhgar,Gregory B. Saathoff,Hamid R Arabnia,Richard Hill,Andrew Staniforth,Petra Saskia Bayerl
Publsiher: Butterworth-Heinemann
Total Pages: 316
Release: 2015-02-19
ISBN: 0128019735
Category: Political Science
Language: EN, FR, DE, ES & NL

Application of Big Data for National Security Book Excerpt:

Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context Indicates future directions for Big Data as an enabler of advanced crime prevention and detection

Simplify Big Data Analytics with Amazon EMR

Simplify Big Data Analytics with Amazon EMR
Author: Sakti Mishra
Publsiher: Packt Publishing Ltd
Total Pages: 430
Release: 2022-03-25
ISBN: 180107772X
Category: Computers
Language: EN, FR, DE, ES & NL

Simplify Big Data Analytics with Amazon EMR Book Excerpt:

Design scalable big data solutions using Hadoop, Spark, and AWS cloud native services Key FeaturesBuild data pipelines that require distributed processing capabilities on a large volume of dataDiscover the security features of EMR such as data protection and granular permission managementExplore best practices and optimization techniques for building data analytics solutions in Amazon EMRBook Description Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS. This book is a practical guide to Amazon EMR for building data pipelines. You'll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You'll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you'll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you'll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR. By the end of this book, you'll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS. What you will learnExplore Amazon EMR features, architecture, Hadoop interfaces, and EMR StudioConfigure, deploy, and orchestrate Hadoop or Spark jobs in productionImplement the security, data governance, and monitoring capabilities of EMRBuild applications for batch and real-time streaming data analytics solutionsPerform interactive development with a persistent EMR cluster and NotebookOrchestrate an EMR Spark job using AWS Step Functions and Apache AirflowWho this book is for This book is for data engineers, data analysts, data scientists, and solution architects who are interested in building data analytics solutions with the Hadoop ecosystem services and Amazon EMR. Prior experience in either Python programming, Scala, or the Java programming language and a basic understanding of Hadoop and AWS will help you make the most out of this book.

Big Data Applications in Geography and Planning

Big Data Applications in Geography and Planning
Author: Graham Clarke,Mark Birkin,Jonathan Corcoran,Robert Stimson
Publsiher: Edward Elgar Publishing
Total Pages: 480
Release: 2021-05-28
ISBN: 9781789909784
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Big Data Applications in Geography and Planning Book Excerpt:

This unique book demonstrates the utility of big data approaches in human geography and planning. Offering a carefully curated selection of case studies, it reveals how researchers are accessing big data, what this data looks like and how such data can offer new and important insights and knowledge. Contributions from key scholars working in the field bring together an international series of case studies on demography and migration, retail and consumer analytics, health care planning, urban planning and transport studies. Chapters also discuss how data sets leveraged from commercial and public agency sources can greatly improve the data traditionally worked with in academic geography, regional science and planning. While addressing the challenges and limitations of big data, the book also demonstrates the usefulness of data sets held by commercial agencies and explores data linkage between big data and traditional public domain data sources. Focusing on the applications of big data to investigate issues in a spatial context, this book will be an essential guide for scholars and students of planning, mobility and human geography, particularly those who specialise in economic and transport geography. Its use of key case studies to demonstrate the applications of big data analytics in planning will also be useful for planners in these fields.

Requirements Engineering for Internet of Things

Requirements Engineering for Internet of Things
Author: Massila Kamalrudin,Sabrina Ahmad,Naveed Ikram
Publsiher: Springer
Total Pages: 205
Release: 2018-01-04
ISBN: 9811077967
Category: Computers
Language: EN, FR, DE, ES & NL

Requirements Engineering for Internet of Things Book Excerpt:

This book constitutes the proceedings of the 4th Asia Pacific Requirements Engineering Symposium, APRES 2017, held in Melaka, Malaysia, in November 2017. The 11 full papers presented together with four short papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on big data, cyber security, crowd-sourcing, requirements challenges, automation.

Building Big Data Applications

Building Big Data Applications
Author: Krish Krishnan
Publsiher: Academic Press
Total Pages: 242
Release: 2019-11-15
ISBN: 0128158042
Category: Computers
Language: EN, FR, DE, ES & NL

Building Big Data Applications Book Excerpt:

Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.). Explores various ways to leverage Big Data by effectively integrating it into the data warehouse Includes real-world case studies which clearly demonstrate Big Data technologies Provides insights on how to optimize current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

Big Data Diaries

Big Data Diaries
Author: Sean Richardson
Publsiher: Createspace Independent Publishing Platform
Total Pages: 40
Release: 2017-09-09
ISBN: 9781976241109
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Big Data Diaries Book Excerpt:

Big Data Diaries Sale price. You will save 66% with this offer. Please hurry up! A Simple Step-By-Step Guide to Big Data and Programming (Big Data, Big Data Hadoop, Big Data Technologies, Big Data Applications) Big data is often something that is different from typical measurements of data and information. But, did you know that it's integral to the future of a business? So many people are now migrating to the use of big data. Even smaller businesses are taking it upon themselves in order to add big data into their life. Why is that? What do they get out of using big data? Why is it the revolutionary means to accomplish what you need, to get the answers that you seek? Why can't normal data do just that? Well, you're about to find out. This book will take you through what you need to know about big data, including how to use it. Big data is something that sounds a lot more complicated when you add in the programming languages and software, but at the base of it, it's actually pretty simple. You can learn how to use this, and why it would help you. Here is a preview of what you'll learn: What big data is Why use it Various techniques that are simple, but can turn a business around The tools needed for big data Why Hadoop is one of the best big data warehouses out there How to use big data in your life in order to do great things You might've been told by someone to start using big data to help your business. You might be sitting here, sifting through articles and books on this, unsure of if this is right for you. Well, wouldn't it be easier if you were given an exact means on how to accomplish what you need to use big data? Well now that you can. By the end of this book, with all that you'll learn, you too will be able to use big data in order to achieve great success with your business. It is what everyone is using these days, and it does give you great leverage over other businesses, so you owe it to yourself to learn this, to understand this, and to properly apply this to your life. Download your copy of " Big Data Diaries " by scrolling up and clicking "Buy Now With 1-Click" button. Tags: Big Data, Big Data Hadoop, Big Data Technologies, Big Data Applications, Big Data Solutions, Big Data Tools, Big Data Architecture, Big Data Companies, Big Data and Hadoop, Big Data and Hadoop, Mapreduce, Big Data And Analytics, Big Data Management, Big Data Applications, Big Data Projects, Data Analytics Tools, Big Data Database, Big Data Analytics Tools.

Big Data Applications and Services 2017

Big Data Applications and Services 2017
Author: Wookey Lee,Carson K. Leung
Publsiher: Springer
Total Pages: 214
Release: 2018-08-16
ISBN: 9811306958
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Big Data Applications and Services 2017 Book Excerpt:

This proceedings volume contains selected papers from the Fourth International Conference on Big Data Applications and Services (BigDAS 2017), held in Tashkent, Uzbekistan on August 15-18, 2017. Big data has become a core technology providing innovative solutions in many fields including social media, healthcare and manufacturing. The Fourth International Conference on Big Data Applications and Services (BigDAS 2017) presented innovative results, encouraged academic and industrial interaction, and promoted collaborative research in the field of big data worldwide. The conference was organized by the Korea Big Data Services Society and National University of Uzbekistan.

Big Data Applications in the Telecommunications Industry

Big Data Applications in the Telecommunications Industry
Author: Ouyang, Ye,Hu, Mantian
Publsiher: IGI Global
Total Pages: 216
Release: 2016-12-28
ISBN: 1522517510
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Applications in the Telecommunications Industry Book Excerpt:

The growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize. Big Data Applications in the Telecommunications Industry is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on data science and wireless network communications.