Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Massively Parallel Databases And Mapreduce Systems full books in PDF, epub, and Kindle. Read online Massively Parallel Databases And Mapreduce Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Herodotos Herodotou
Publisher :
ISBN 13 : 9781601987518
Total Pages : 120 pages
Book Rating : 4.9/5 (875 download)
Download or read book Massively Parallel Databases and MapReduce Systems written by Herodotos Herodotou and published by . This book was released on 2012 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tatjana Welzer
Publisher : Springer Nature
ISBN 13 : 3030287300
Total Pages : 463 pages
Book Rating : 4.0/5 (32 download)
Download or read book Advances in Databases and Information Systems written by Tatjana Welzer and published by Springer Nature. This book was released on 2019-08-28 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 23rd European Conference on Advances in Databases and Information Systems, ADBIS 2019, held in Bled, Slovenia, in September 2019. The 27 full papers presented were carefully reviewed and selected from 103 submissions. The papers cover a wide range of topics from different areas of research in database and information systems technologies and their advanced applications from theoretical foundations to optimizing index structures. They focus on data mining and machine learning, data warehouses and big data technologies, semantic data processing, and data modeling. They are organized in the following topical sections: data mining; machine learning; document and text databases; big data; novel applications; ontologies and knowledge management; process mining and stream processing; data quality; optimization; theoretical foundation and new requirements; and data warehouses.
Author : Miriam Lawrence Mchome
Publisher :
ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (768 download)
Download or read book Comparison Study Between MapReduce (MR) and Parallel Data Management Systems (DBMs) in Large Scale Data Analysis written by Miriam Lawrence Mchome and published by . This book was released on 2011 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the quantity of structured and unstructured data increases, data processing experts have turned to systems that analyze data using many computers in parallel. This study looks at two systems designed for these needs: MapReduce and parallel databases. In the MapReduce programming model, users express their problem in terms of a map function and a reduce function. Parallel databases organize data as a system of tables representing entities and relationships between them. Previous comparison studies have focused on performance, concluding that these two systems are complimentary. Parallel databases scored high on performance and MapReduce scored high on flexibility in handling unstructured data. Both systems offer a querying language: Pig Latin for MapReduce systems and SQL for parallel databases. This study compares the operations, query structure and support for user defined functions in these languages. The findings offer data processing experts insights into how data organization and querying structure affects data analysis.
Author : Aris Gkoulalas-Divanis
Publisher : Springer Science & Business Media
ISBN 13 : 1461492424
Total Pages : 276 pages
Book Rating : 4.4/5 (614 download)
Download or read book Large-Scale Data Analytics written by Aris Gkoulalas-Divanis and published by Springer Science & Business Media. This book was released on 2014-01-08 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book collects state-of-the-art research related to large-scale data analytics that has been accomplished over the last few years. This is among the first books devoted to this important area based on contributions from diverse scientific areas such as databases, data mining, supercomputing, hardware architecture, data visualization, statistics, and privacy. There is increasing need for new approaches and technologies that can analyze and synthesize very large amounts of data, in the order of petabytes, that are generated by massively distributed data sources. This requires new distributed architectures for data analysis. Additionally, the heterogeneity of such sources imposes significant challenges for the efficient analysis of the data under numerous constraints, including consistent data integration, data homogenization and scaling, privacy and security preservation. The authors also broaden reader understanding of emerging real-world applications in domains such as customer behavior modeling, graph mining, telecommunications, cyber-security, and social network analysis, all of which impose extra requirements for large-scale data analysis. Large-Scale Data Analytics is organized in 8 chapters, each providing a survey of an important direction of large-scale data analytics or individual results of the emerging research in the field. The book presents key recent research that will help shape the future of large-scale data analytics, leading the way to the design of new approaches and technologies that can analyze and synthesize very large amounts of heterogeneous data. Students, researchers, professionals and practitioners will find this book an authoritative and comprehensive resource.
Author : Francesco Buccafurri
Publisher : Springer
ISBN 13 : 3319455079
Total Pages : 276 pages
Book Rating : 4.3/5 (194 download)
Download or read book Availability, Reliability, and Security in Information Systems written by Francesco Buccafurri and published by Springer. This book was released on 2016-08-22 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, Reliability and Security in Information Systems, CD-ARES 2016, and the Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, co-located with the International Conference on Availability, Reliability and Security, ARES 2016, held in Salzburg, Austria, in September 2016. The 13 revised full papers and 4 short papers presented were carefully reviewed and selected from 23 submissions. They are organized in the following topical sections: Web and semantics; diagnosis, prediction and machine learning; security and privacy; visualization and risk management; and privacy aware machine learning for health data science. div
Author : Martin Kleppmann
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491903104
Total Pages : 658 pages
Book Rating : 4.4/5 (919 download)
Download or read book Designing Data-Intensive Applications written by Martin Kleppmann and published by "O'Reilly Media, Inc.". This book was released on 2017-03-16 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Author : David Taniar
Publisher : John Wiley & Sons
ISBN 13 : 0470391359
Total Pages : 575 pages
Book Rating : 4.4/5 (73 download)
Download or read book High-Performance Parallel Database Processing and Grid Databases written by David Taniar and published by John Wiley & Sons. This book was released on 2008-09-17 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest techniques and principles of parallel and grid database processing The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS). This important new book provides readers with a fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. It presents a balanced treatment of the theoretical and practical aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models, and grid transactions. High-Performance Parallel Database Processing and Grid Databases serves as a valuable resource for researchers working in parallel databases and for practitioners interested in building a high-performance database. It is also a much-needed, self-contained textbook for database courses at the advanced undergraduate and graduate levels.
Author : Mykola Pechenizkiy
Publisher : Springer Science & Business Media
ISBN 13 : 3642325181
Total Pages : 444 pages
Book Rating : 4.6/5 (423 download)
Download or read book New Trends in Databases and Information Systems written by Mykola Pechenizkiy and published by Springer Science & Business Media. This book was released on 2012-08-22 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Database and information systems technologies have been rapidly evolving in several directions over the past years. New types and kinds of data, new types of applications and information systems to support them raise diverse challenges to be addressed. The so-called big data challenge, streaming data management and processing, social networks and other complex data analysis, including semantic reasoning into information systems supporting for instance trading, negotiations, and bidding mechanisms are just some of the emerging research topics. This volume contains papers contributed by six workshops: ADBIS Workshop on GPUs in Databases (GID 2012), Mining Complex and Stream Data (MCSD'12), International Workshop on Ontologies meet Advanced Information Systems (OAIS'2012), Second Workshop on Modeling Multi-commodity Trade: Data models and processing (MMT'12), 1st ADBIS Workshop on Social Data Processing (SDP'12), 1st ADBIS Workshop on Social and Algorithmic Issues in Business Support (SAIBS), and the Ph.D. Consortium associated with the ADBIS 2012 conference that report on the recent developments and an ongoing research in the aforementioned areas.
Author : Veljko Milutinovic
Publisher : Springer
ISBN 13 : 3030138038
Total Pages : 315 pages
Book Rating : 4.0/5 (31 download)
Download or read book Exploring the DataFlow Supercomputing Paradigm written by Veljko Milutinovic and published by Springer. This book was released on 2019-05-27 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business. The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team: DataFlow Supercomputing Essentials: Research, Development and Education, DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, and Guide to DataFlow Supercomputing. Topics and Features: introduces a novel method of graph partitioning for large graphs involving the construction of a skeleton graph; describes a cloud-supported web-based integrated development environment that can develop and run programs without DataFlow hardware owned by the user; showcases a new approach for the calculation of the extrema of functions in one dimension, by implementing the Golden Section Search algorithm; reviews algorithms for a DataFlow architecture that uses matrices and vectors as the underlying data structure; presents an algorithm for spherical code design, based on the variable repulsion force method; discusses the implementation of a face recognition application, using the DataFlow paradigm; proposes a method for region of interest-based image segmentation of mammogram images on high-performance reconfigurable DataFlow computers; surveys a diverse range of DataFlow applications in physics simulations, and investigates a DataFlow implementation of a Bitcoin mining algorithm. This unique volume will prove a valuable reference for researchers and programmers of DataFlow computing, and supercomputing in general. Graduate and advanced undergraduate students will also find that the book serves as an ideal supplementary text for courses on Data Mining, Microprocessor Systems, and VLSI Systems.
Author : Herb Kunze
Publisher : CRC Press
ISBN 13 : 1000907899
Total Pages : 717 pages
Book Rating : 4.0/5 (9 download)
Download or read book Engineering Mathematics and Artificial Intelligence written by Herb Kunze and published by CRC Press. This book was released on 2023-07-26 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between mathematics and AI/ML and provides an overview of the current research streams. Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind ML and shows how mathematics can be used in AI. The book illustrates how to improve existing algorithms by using advanced mathematics and offers cutting-edge AI technologies. The book goes on to discuss how ML can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between ML and complex mathematical techniques is also highlighted within the book. This book is written for researchers, practitioners, engineers, and AI consultants.
Author : Aastha Madaan
Publisher : Springer
ISBN 13 : 3642371345
Total Pages : 320 pages
Book Rating : 4.6/5 (423 download)
Download or read book Databases in Networked Information Systems written by Aastha Madaan and published by Springer. This book was released on 2013-03-19 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Workshop on Databases in Networked Information Systems, DNIS 2013, held in Aizu-Wakamatsu, Japan in March 2013. The 22 revised full papers presented were carefully reviewed and selected for inclusion in the book. The workshop generally puts the main focus on data semantics and infrastructure for information management and interchange. The papers are organized in topical sections on cloud-based database systems; information and knowledge management; information extraction from data resources; bio-medical information management; and networked information systems: infrastructure.
Author : Jimmy Lin
Publisher : Springer Nature
ISBN 13 : 3031021363
Total Pages : 171 pages
Book Rating : 4.0/5 (31 download)
Download or read book Data-Intensive Text Processing with MapReduce written by Jimmy Lin and published by Springer Nature. This book was released on 2022-05-31 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks
Author : Dirk deRoos
Publisher : John Wiley & Sons
ISBN 13 : 1118607554
Total Pages : 419 pages
Book Rating : 4.1/5 (186 download)
Download or read book Hadoop For Dummies written by Dirk deRoos and published by John Wiley & Sons. This book was released on 2014-04-14 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Let Hadoop For Dummies help harness the power of your data and rein in the information overload Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters. Explains the origins of Hadoop, its economic benefits, and its functionality and practical applications Helps you find your way around the Hadoop ecosystem, program MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easily Details how to use Hadoop applications for data mining, web analytics and personalization, large-scale text processing, data science, and problem-solving Shows you how to improve the value of your Hadoop cluster, maximize your investment in Hadoop, and avoid common pitfalls when building your Hadoop cluster From programmers challenged with building and maintaining affordable, scaleable data systems to administrators who must deal with huge volumes of information effectively and efficiently, this how-to has something to help you with Hadoop.
Author : Paraschos Koutris
Publisher : Foundations and Trends in Databases
ISBN 13 : 9781680834062
Total Pages : 144 pages
Book Rating : 4.8/5 (34 download)
Download or read book Algorithmic Aspects of Parallel Data Processing written by Paraschos Koutris and published by Foundations and Trends in Databases. This book was released on 2018-02-22 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph reviews some of the recent theoretical results on efficient data processing on large distributed architectures, as well as some of the relevant classical results on parallel sorting and parallel matrix multiplication.
Author : Paraschos Koutris
Publisher :
ISBN 13 : 9781680834079
Total Pages : 131 pages
Book Rating : 4.8/5 (34 download)
Download or read book Algorithmic Aspects of Parallel Data Processing written by Paraschos Koutris and published by . This book was released on 2017 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade or so we have witnessed a growing interest in processing large data sets on large distributed clusters. The idea was pioneered by the MapReduce framework, and has been widely adopted by several other systems, including PigLatin, Hive, Scope, U-SQL, Dremmel, Spark and Myria. A large part of the complex data analysis performed by these systems consists of a sequence of relatively simple query operations, such as joining two or more tables. This survey discusses recent algorithmic developments for distributed data processing. It uses a theoretical model of parallel processing called the Massively Parallel Computation (MPC) model, which is a simplification of the BSP model where the only cost is given by the amount of communication and the number of communication rounds. The survey studies several algorithms for multi-join queries, for sorting, and for matrix multiplication, and discusses their relationships and common techniques applied across the different data processing tasks.
Author : R. Kelly Rainer
Publisher : John Wiley & Sons
ISBN 13 : 1119761468
Total Pages : 610 pages
Book Rating : 4.1/5 (197 download)
Download or read book Introduction to Information Systems written by R. Kelly Rainer and published by John Wiley & Sons. This book was released on 2021-08-17 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Information Systems, 9th Edition teaches undergraduate business majors how to use information technology to master their current or future jobs. Students develop a working understanding of information systems and information technology and learn how to apply concepts to successfully facilitate business processes. This course demonstrates that IT is the backbone of any business, whether a student is majoring in accounting, finance, marketing, human resources, production/operations management, or MIS.
Author : Amy Elser
Publisher : Springer Science & Business Media
ISBN 13 : 1447124154
Total Pages : 733 pages
Book Rating : 4.4/5 (471 download)
Download or read book Guide to Reliable Distributed Systems written by Amy Elser and published by Springer Science & Business Media. This book was released on 2012-01-15 with total page 733 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the key concepts, principles and implementation options for creating high-assurance cloud computing solutions. The guide starts with a broad technical overview and basic introduction to cloud computing, looking at the overall architecture of the cloud, client systems, the modern Internet and cloud computing data centers. It then delves into the core challenges of showing how reliability and fault-tolerance can be abstracted, how the resulting questions can be solved, and how the solutions can be leveraged to create a wide range of practical cloud applications. The author’s style is practical, and the guide should be readily understandable without any special background. Concrete examples are often drawn from real-world settings to illustrate key insights. Appendices show how the most important reliability models can be formalized, describe the API of the Isis2 platform, and offer more than 80 problems at varying levels of difficulty.
