Big Data Smack

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Big Data SMACK

Author : Raul Estrada
Publisher : Apress
ISBN 13 : 1484221753
Total Pages : 277 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Big Data SMACK by : Raul Estrada

Download or read book Big Data SMACK written by Raul Estrada and published by Apress. This book was released on 2016-09-29 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to integrate full-stack open source big data architecture and to choose the correct technology—Scala/Spark, Mesos, Akka, Cassandra, and Kafka—in every layer. Big data architecture is becoming a requirement for many different enterprises. So far, however, the focus has largely been on collecting, aggregating, and crunching large data sets in a timely manner. In many cases now, organizations need more than one paradigm to perform efficient analyses. Big Data SMACK explains each of the full-stack technologies and, more importantly, how to best integrate them. It provides detailed coverage of the practical benefits of these technologies and incorporates real-world examples in every situation. This book focuses on the problems and scenarios solved by the architecture, as well as the solutions provided by every technology. It covers the six main concepts of big data architecture and how integrate, replace, and reinforce every layer: The language: Scala The engine: Spark (SQL, MLib, Streaming, GraphX) The container: Mesos, Docker The view: Akka The storage: Cassandra The message broker: Kafka What You Will Learn: Make big data architecture without using complex Greek letter architectures Build a cheap but effective cluster infrastructure Make queries, reports, and graphs that business demands Manage and exploit unstructured and No-SQL data sources Use tools to monitor the performance of your architecture Integrate all technologies and decide which ones replace and which ones reinforce Who This Book Is For: Developers, data architects, and data scientists looking to integrate the most successful big data open stack architecture and to choose the correct technology in every layer

Fast Data Processing Systems with SMACK Stack

Author : Raul Estrada
Publisher : Packt Publishing Ltd
ISBN 13 : 1786468069
Total Pages : 371 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Fast Data Processing Systems with SMACK Stack by : Raul Estrada

Download or read book Fast Data Processing Systems with SMACK Stack written by Raul Estrada and published by Packt Publishing Ltd. This book was released on 2016-12-22 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combine the incredible powers of Spark, Mesos, Akka, Cassandra, and Kafka to build data processing platforms that can take on even the hardest of your data troubles! About This Book This highly practical guide shows you how to use the best of the big data technologies to solve your response-critical problems Learn the art of making cheap-yet-effective big data architecture without using complex Greek-letter architectures Use this easy-to-follow guide to build fast data processing systems for your organization Who This Book Is For If you are a developer, data architect, or a data scientist looking for information on how to integrate the Big Data stack architecture and how to choose the correct technology in every layer, this book is what you are looking for. What You Will Learn Design and implement a fast data Pipeline architecture Think and solve programming challenges in a functional way with Scala Learn to use Akka, the actors model implementation for the JVM Make on memory processing and data analysis with Spark to solve modern business demands Build a powerful and effective cluster infrastructure with Mesos and Docker Manage and consume unstructured and No-SQL data sources with Cassandra Consume and produce messages in a massive way with Kafka In Detail SMACK is an open source full stack for big data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. This stack is the newest technique developers have begun to use to tackle critical real-time analytics for big data. This highly practical guide will teach you how to integrate these technologies to create a highly efficient data analysis system for fast data processing. We'll start off with an introduction to SMACK and show you when to use it. First you'll get to grips with functional thinking and problem solving using Scala. Next you'll come to understand the Akka architecture. Then you'll get to know how to improve the data structure architecture and optimize resources using Apache Spark. Moving forward, you'll learn how to perform linear scalability in databases with Apache Cassandra. You'll grasp the high throughput distributed messaging systems using Apache Kafka. We'll show you how to build a cheap but effective cluster infrastructure with Apache Mesos. Finally, you will deep dive into the different aspect of SMACK using a few case studies. By the end of the book, you will be able to integrate all the components of the SMACK stack and use them together to achieve highly effective and fast data processing. Style and approach With the help of various industry examples, you will learn about the full stack of big data architecture, taking the important aspects in every technology. You will learn how to integrate the technologies to build effective systems rather than getting incomplete information on single technologies. You will learn how various open source technologies can be used to build cheap and fast data processing systems with the help of various industry examples

Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities

Author : Segall, Richard S.
Publisher : IGI Global
ISBN 13 : 1799827704
Total Pages : 237 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities by : Segall, Richard S.

Download or read book Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities written by Segall, Richard S. and published by IGI Global. This book was released on 2020-02-21 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.

Handbook of Research on Big Data Storage and Visualization Techniques

Author : Segall, Richard S.
Publisher : IGI Global
ISBN 13 : 1522531432
Total Pages : 917 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Big Data Storage and Visualization Techniques by : Segall, Richard S.

Download or read book Handbook of Research on Big Data Storage and Visualization Techniques written by Segall, Richard S. and published by IGI Global. This book was released on 2018-01-05 with total page 917 pages. Available in PDF, EPUB and Kindle. Book 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.

Obtaining Value from Big Data for Service Systems, Volume II

Author : Stephen H. Kaisler
Publisher : Business Expert Press
ISBN 13 : 1949991474
Total Pages : 153 pages
Book Rating : 4.9/5 (499 download)

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Book Synopsis Obtaining Value from Big Data for Service Systems, Volume II by : Stephen H. Kaisler

Download or read book Obtaining Value from Big Data for Service Systems, Volume II written by Stephen H. Kaisler and published by Business Expert Press. This book was released on 2019-06-03 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume II of this series discusses the technology used to implement a big data analysis capability within a service-oriented organization. It discusses the technical architecture necessary to implement a big data analysis capability, some issues and challenges in big data analysis and utilization that an organization will face, and how to capture value from it. It will help readers understand what technology is required for a basic capability and what the expected benefits are from establishing a big data capability within their organization.

Complete Guide to Open Source Big Data Stack

Author : Michael Frampton
Publisher : Apress
ISBN 13 : 1484221494
Total Pages : 375 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Complete Guide to Open Source Big Data Stack by : Michael Frampton

Download or read book Complete Guide to Open Source Big Data Stack written by Michael Frampton and published by Apress. This book was released on 2018-01-18 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together. In the Complete Guide to Open Source Big Data Stack, the author begins by creating a private cloud and then installs and examines Apache Brooklyn. After that, he uses each chapter to introduce one piece of the big data stack—sharing how to source the software and how to install it. You learn by simple example, step by step and chapter by chapter, as a real big data stack is created. The book concentrates on Apache-based systems and shares detailed examples of cloud storage, release management, resource management, processing, queuing, frameworks, data visualization, and more. What You’ll Learn Install a private cloud onto the local cluster using Apache cloud stack Source, install, and configure Apache: Brooklyn, Mesos, Kafka, and Zeppelin See how Brooklyn can be used to install Mule ESB on a cluster and Cassandra in the cloud Install and use DCOS for big data processing Use Apache Spark for big data stack data processing Who This Book Is For Developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for anyone interested in Hadoop or big data, and those experiencing problems with data size.

Research Anthology on Privatizing and Securing Data

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799889556
Total Pages : 2188 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Research Anthology on Privatizing and Securing Data by : Management Association, Information Resources

Download or read book Research Anthology on Privatizing and Securing Data written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-04-23 with total page 2188 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.

Privacy in the Age of Big Data

Author : Theresa Payton
Publisher : Rowman & Littlefield
ISBN 13 : 1442225467
Total Pages : 277 pages
Book Rating : 4.4/5 (422 download)

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Book Synopsis Privacy in the Age of Big Data by : Theresa Payton

Download or read book Privacy in the Age of Big Data written by Theresa Payton and published by Rowman & Littlefield. This book was released on 2014-01-16 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital devices have made our busy lives a little easier and they do great things for us, too – we get just-in-time coupons, directions, and connection with loved ones while stuck on an airplane runway. Yet, these devices, though we love them, can invade our privacy in ways we are not even aware of. The digital devices send and collect data about us whenever we use them, but that data is not always safeguarded the way we assume it should be to protect our privacy. Privacy is complex and personal. Many of us do not know the full extent to which data is collected, stored, aggregated, and used. As recent revelations indicate, we are subject to a level of data collection and surveillance never before imaginable. While some of these methods may, in fact, protect us and provide us with information and services we deem to be helpful and desired, others can turn out to be insidious and over-arching. Privacy in the Age of Big Data highlights the many positive outcomes of digital surveillance and data collection while also outlining those forms of data collection to which we do not always consent, and of which we are likely unaware, as well as the dangers inherent in such surveillance and tracking. Payton and Claypoole skillfully introduce readers to the many ways we are “watched” and how to change behaviors and activities to recapture and regain more of our privacy. The authors suggest remedies from tools, to behavior changes, to speaking out to politicians to request their privacy back. Anyone who uses digital devices for any reason will want to read this book for its clear and no-nonsense approach to the world of big data and what it means for all of us.

Research Anthology on Usage and Development of Open Source Software

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799891593
Total Pages : 904 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Research Anthology on Usage and Development of Open Source Software by : Management Association, Information Resources

Download or read book Research Anthology on Usage and Development of Open Source Software written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-06-25 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quick growth of computer technology and development of software caused it to be in a constant state of change and advancement. This advancement in software development meant that there would be many types of software developed in order to excel in usability and efficiency. Among these different types of software was open source software, one that grants permission for users to use, study, change, and distribute it freely. Due to its availability, open source software has quickly become a valuable asset to the world of computer technology and across various disciplines including education, business, and library science. The Research Anthology on Usage and Development of Open Source Software presents comprehensive research on the design and development of open source software as well as the ways in which it is used. The text discusses in depth the way in which this computer software has been made into a collaborative effort for the advancement of software technology. Discussing topics such as ISO standards, big data, fault prediction, open collaboration, and software development, this anthology is essential for computer engineers, software developers, IT specialists and consultants, instructors, librarians, managers, executives, professionals, academicians, researchers, and students.

Distributed Computing and Artificial Intelligence, 14th International Conference

Author : Sigeru Omatu
Publisher : Springer
ISBN 13 : 3319624105
Total Pages : 344 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Distributed Computing and Artificial Intelligence, 14th International Conference by : Sigeru Omatu

Download or read book Distributed Computing and Artificial Intelligence, 14th International Conference written by Sigeru Omatu and published by Springer. This book was released on 2017-06-19 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 14th International Symposium on Distributed Computing and Artificial Intelligence 2017 (DCAI 2017) provided a forum for presenting the application of innovative techniques to study and solve complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to advancing the development of systems that can meet the ever-growing demands of today’s society. The book brings together past experience, current work and promising future trends in distributed computing, artificial intelligence and their applications to efficiently solve real-world problems. It combines contributions in well-established and evolving areas of research, including the content of the DCAI 17 Special Sessions, which focused on multi-disciplinary and transversal aspects, such as AI-driven methods for multimodal networks and processes modeling, and secure management towards smart buildings and smart grids. The symposium was jointly organized by the Polytechnic of Porto, the Osaka Institute of Technology and the University of Salamanca. The latest event was held in Porto, Portugal, from 21st to 23rd June 2017.

Big Data Analytics

Author : Arun K. Somani
Publisher : CRC Press
ISBN 13 : 1351180320
Total Pages : 399 pages
Book Rating : 4.3/5 (511 download)

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Book Synopsis Big Data Analytics by : Arun K. Somani

Download or read book Big Data Analytics written by Arun K. Somani and published by CRC Press. This book was released on 2017-10-30 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

Big Data, Fast Data

Author : Jochen Mader
Publisher : entwickler.Press
ISBN 13 : 3868027394
Total Pages : 79 pages
Book Rating : 4.8/5 (68 download)

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Book Synopsis Big Data, Fast Data by : Jochen Mader

Download or read book Big Data, Fast Data written by Jochen Mader and published by entwickler.Press. This book was released on 2016-08-10 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: Die Big-Data-Welt verändert sich. Mit diesem shortcut erfahren Sie, was hinter den Begriffen Fast Data und SMACK steckt, wie Daten mittels Kafka und Akka ins System kommen und auf welche Art und Weise eine Datenanalyse mit Spark und Apache Zeppelin funktioniert. Im abschließenden Kapitel erläutern die Autoren, wie Daten unter Verwendung von Spark und Cassandra gespeichert, verarbeitet, aktualisiert und mit weiteren Informationen zusammengebracht werden können.

Complex, Intelligent, and Software Intensive Systems

Author : Leonard Barolli
Publisher : Springer
ISBN 13 : 331993659X
Total Pages : 1132 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Complex, Intelligent, and Software Intensive Systems by : Leonard Barolli

Download or read book Complex, Intelligent, and Software Intensive Systems written by Leonard Barolli and published by Springer. This book was released on 2018-06-18 with total page 1132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a platform of scientific interaction between the three challenging and closely linked areas of ICT-enabled-application research and development: software intensive systems, complex systems and intelligent systems. Software intensive systems strongly interact with other systems, sensors, actuators, devices, other software systems and users. More and more domains are using software intensive systems, e.g. automotive and telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, web services offer a new platform for enabling software intensive systems. Complex systems research is focused on the overall understanding of systems rather than their components. Complex systems are characterized by the changing environments in which they interact. They evolve and adapt through internal and external dynamic interactions. The development of intelligent systems and agents, which are increasingly characterized by their use of ontologies and their logical foundations, offer impulses for both software intensive systems and complex systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence, and cognitive sciences are vital for the future development and innovation of software intensive and complex systems.

Intelligent Systems and Applications

Author : Kohei Arai
Publisher : Springer Nature
ISBN 13 : 3030551873
Total Pages : 794 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Intelligent Systems and Applications by : Kohei Arai

Download or read book Intelligent Systems and Applications written by Kohei Arai and published by Springer Nature. This book was released on 2020-08-25 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial engineers, students from all around the world. These submissions underwent a double-blind peer review process. Of those 545 submissions, 177 submissions have been selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have enabled a larger number of problems to be tackled more effectively.This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for such an international conference which serves as a venue to report on up-to-the-minute innovations and developments. This book collects both theory and application based chapters on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the volume interesting and valuable; it provides the state of the art intelligent methods and techniques for solving real world problems along with a vision of the future research.

Open Innovation in Small Business

Author : Ahmad Rafiki
Publisher : Springer Nature
ISBN 13 : 9819951429
Total Pages : 292 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Open Innovation in Small Business by : Ahmad Rafiki

Download or read book Open Innovation in Small Business written by Ahmad Rafiki and published by Springer Nature. This book was released on 2023-10-27 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book emphasizes the open innovation which mainly consists of innovation inside-out and outside-in needed by the small and medium-sized enterprises (SME). This open innovation relates to the performance and survival of SMEs in a global competition. The SMEs must learn, have, and do innovative initiatives and actions. This book elaborates all related concepts and innovative practices toward better performances, which includes the impacts of globalization and dynamic markets with a special focus on sustainability. Every country has different perspectives considering open innovation as a solution to the businesses. Thus, readers can see the best practices to be adopted or adapted in their business environment. The book includes the solution for the SMEs in terms of creating values. Open innovation is known as a window for creating values. Open innovation can be seen by SMEs as a possible way to adapt and thrive in an increasingly competitive and volatile environment, including to overcome their limitations. By implementing open innovation, SMEs will compensate for their lack of internal resources and competencies through external resources to develop new technologies and take advantage of market opportunities. This book is dedicated to the entrepreneurs, businessmen, practitioners, policymakers, academician, and students in developing strategies and having future plan related to innovation which is crucial for creating values in business operations. A benchmarking through innovation is important to improve among businesses to achieve effectiveness and efficiency.

Intelligent Computing

Author : Kohei Arai
Publisher : Springer Nature
ISBN 13 : 3030522466
Total Pages : 728 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Intelligent Computing by : Kohei Arai

Download or read book Intelligent Computing written by Kohei Arai and published by Springer Nature. This book was released on 2020-07-03 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the core areas of computing and their applications in the real world. Presenting papers from the Computing Conference 2020 covers a diverse range of research areas, describing various detailed techniques that have been developed and implemented. The Computing Conference 2020, which provided a venue for academic and industry practitioners to share new ideas and development experiences, attracted a total of 514 submissions from pioneering academic researchers, scientists, industrial engineers and students from around the globe. Following a double-blind, peer-review process, 160 papers (including 15 poster papers) were selected to be included in these proceedings. Featuring state-of-the-art intelligent methods and techniques for solving real-world problems, the book is a valuable resource and will inspire further research and technological improvements in this important area.

Big Data and HPC: Ecosystem and Convergence

Author : L. Grandinetti
Publisher : IOS Press
ISBN 13 : 1614998825
Total Pages : 338 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Big Data and HPC: Ecosystem and Convergence by : L. Grandinetti

Download or read book Big Data and HPC: Ecosystem and Convergence written by L. Grandinetti and published by IOS Press. This book was released on 2018-08-22 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the increasing need to solve complex problems, high-performance computing (HPC) is now one of the most fundamental infrastructures for scientific development in all disciplines, and it has progressed massively in recent years as a result. HPC facilitates the processing of big data, but the tremendous research challenges faced in recent years include: the scalability of computing performance for high velocity, high variety and high volume big data; deep learning with massive-scale datasets; big data programming paradigms on multi-core; GPU and hybrid distributed environments; and unstructured data processing with high-performance computing. This book presents 19 selected papers from the TopHPC2017 congress on Advances in High-Performance Computing and Big Data Analytics in the Exascale era, held in Tehran, Iran, in April 2017. The book is divided into 3 sections: State of the Art and Future Scenarios, Big Data Challenges, and HPC Challenges, and will be of interest to all those whose work involves the processing of Big Data and the use of HPC.