Shared Data Clusters

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 0471448850
Total Pages : 450 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Shared Data Clusters by : Dilip M. Ranade

Download or read book Shared Data Clusters written by Dilip M. Ranade and published by John Wiley & Sons. This book was released on 2003-02-17 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clustering is a vital methodology in the data storage world. Its goal is to maximize cost-effectiveness, availability, flexibility, and scalability. Clustering has changed considerably for the better due to Storage Area Networks, which provide access to data from any node in the cluster. Explains how clusters with shared storage work and the components in the cluster that need to work together Reviews where a cluster should be deployed and how to use one for best performance Author is Lead Technical Engineer for VERITAS Cluster File Systems and has worked on clusters and file systems for the past ten years

SQL Server Big Data Clusters

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Author :
Publisher : Apress
ISBN 13 : 1484259858
Total Pages : 272 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis SQL Server Big Data Clusters by : Benjamin Weissman

Download or read book SQL Server Big Data Clusters written by Benjamin Weissman and published by Apress. This book was released on 2020-05-23 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use this guide to one of SQL Server 2019’s most impactful features—Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For example, you can stream large volumes of data from Apache Spark in real time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database. Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL—taking advantage of skills you have honed for years—and with those queries you will be able to examine and analyze data from a wide variety of sources such as Apache Spark. Through the theoretical foundation provided in this book and easy-to-follow example scripts and notebooks, you will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis. What You Will LearnInstall, manage, and troubleshoot Big Data Clusters in cloud or on-premise environments Analyze large volumes of data directly from SQL Server and/or Apache Spark Manage data stored in HDFS from SQL Server as if it were relational data Implement advanced analytics solutions through machine learning and AI Expose different data sources as a single logical source using data virtualization Who This Book Is For Data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments

Shared Data Clusters

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Author :
Publisher : Wiley
ISBN 13 : 9780471180708
Total Pages : 0 pages
Book Rating : 4.1/5 (87 download)

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Book Synopsis Shared Data Clusters by : Dilip M. Ranade

Download or read book Shared Data Clusters written by Dilip M. Ranade and published by Wiley. This book was released on 2002-08-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clustering is a vital methodology in the data storage world. Its goal is to maximize cost-effectiveness, availability, flexibility, and scalability. Clustering has changed considerably for the better due to Storage Area Networks, which provide access to data from any node in the cluster. Explains how clusters with shared storage work and the components in the cluster that need to work together Reviews where a cluster should be deployed and how to use one for best performance Author is Lead Technical Engineer for VERITAS Cluster File Systems and has worked on clusters and file systems for the past ten years

The Defintive Guide to Building Highly Scalable Enterprise File Serving Solutions

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Author :
Publisher : Realtimepublishers.com
ISBN 13 : 193149147X
Total Pages : 139 pages
Book Rating : 4.9/5 (314 download)

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Book Synopsis The Defintive Guide to Building Highly Scalable Enterprise File Serving Solutions by : Realtimepublishers.com

Download or read book The Defintive Guide to Building Highly Scalable Enterprise File Serving Solutions written by Realtimepublishers.com and published by Realtimepublishers.com. This book was released on 2005 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Clustering in C++

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Author :
Publisher : CRC Press
ISBN 13 : 1439862249
Total Pages : 520 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Data Clustering in C++ by : Guojun Gan

Download or read book Data Clustering in C++ written by Guojun Gan and published by CRC Press. This book was released on 2011-03-28 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering have been published over the past 50 years. However,

Clustering Methods for Big Data Analytics

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Author :
Publisher : Springer
ISBN 13 : 3319978640
Total Pages : 187 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Clustering Methods for Big Data Analytics by : Olfa Nasraoui

Download or read book Clustering Methods for Big Data Analytics written by Olfa Nasraoui and published by Springer. This book was released on 2018-10-27 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.

Oracle 10g Grid and Real Application Clusters

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Author :
Publisher : Rampant TechPress
ISBN 13 : 9780974435541
Total Pages : 868 pages
Book Rating : 4.4/5 (355 download)

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Book Synopsis Oracle 10g Grid and Real Application Clusters by : Mike Ault

Download or read book Oracle 10g Grid and Real Application Clusters written by Mike Ault and published by Rampant TechPress. This book was released on 2004-08 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revealing the secrets for quickly implementing and tuning Oracle RAC database systems, this book covers all areas of Oracle Real Application Clusters including Oracle10g new features. Oracle DBAs who are charged with configuring and implementing a RAC clusters database will benefit from this complete guide to the installation as well as configuration and design of Oracle Real Application Clusters. Information is supplied on expert internals of shared disk technology, raw devices and RAID with RAC, the internal concurrency, resource coordination, and the locking mechanism within RAC. Also explained are Transparent Application Failover (TAF) and monitoring and tuning Oracle10g RAC applications.

Sharing Data and Models in Software Engineering

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 0124173071
Total Pages : 406 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Sharing Data and Models in Software Engineering by : Tim Menzies

Download or read book Sharing Data and Models in Software Engineering written by Tim Menzies and published by Morgan Kaufmann. This book was released on 2014-12-22 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects. Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineering Explains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfalls Provides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge research Addresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data

Hierarchical Scheduling in Parallel and Cluster Systems

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1461501334
Total Pages : 263 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Hierarchical Scheduling in Parallel and Cluster Systems by : Sivarama Dandamudi

Download or read book Hierarchical Scheduling in Parallel and Cluster Systems written by Sivarama Dandamudi and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple processor systems are an important class of parallel systems. Over the years, several architectures have been proposed to build such systems to satisfy the requirements of high performance computing. These architectures span a wide variety of system types. At the low end of the spectrum, we can build a small, shared-memory parallel system with tens of processors. These systems typically use a bus to interconnect the processors and memory. Such systems, for example, are becoming commonplace in high-performance graph ics workstations. These systems are called uniform memory access (UMA) multiprocessors because they provide uniform access of memory to all pro cessors. These systems provide a single address space, which is preferred by programmers. This architecture, however, cannot be extended even to medium systems with hundreds of processors due to bus bandwidth limitations. To scale systems to medium range i. e. , to hundreds of processors, non-bus interconnection networks have been proposed. These systems, for example, use a multistage dynamic interconnection network. Such systems also provide global, shared memory like the UMA systems. However, they introduce local and remote memories, which lead to non-uniform memory access (NUMA) architecture. Distributed-memory architecture is used for systems with thousands of pro cessors. These systems differ from the shared-memory architectures in that there is no globally accessible shared memory. Instead, they use message pass ing to facilitate communication among the processors. As a result, they do not provide single address space.

Highly Available Storage for Windows Servers

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Publisher : John Wiley & Sons
ISBN 13 : 0471264776
Total Pages : 466 pages
Book Rating : 4.4/5 (712 download)

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Book Synopsis Highly Available Storage for Windows Servers by : Paul Massiglia

Download or read book Highly Available Storage for Windows Servers written by Paul Massiglia and published by John Wiley & Sons. This book was released on 2002-11-06 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first how-to guide for online storage management with Windows 2000 In this book, expert Paul Massiglia first provides a clear tutorial on the principles of managed online storage and then walks you through the basics of how to manage your disks and RAID arrays in the Windows 2000 server environment. He provides all the information system administrators need to take advantage of Windows 2000's powerful new capabilities for handling large numbers of disks and RAID subsystems. Using both the embedded capabilities of the Windows 2000 operating system, VERITAS Volume Manager--the de-facto standard for application storage--and other working examples, Massiglia clearly illustrates how to organize disks so that all application data can be given the right balance of availability, I/O performance, and online storage cost. Readers will learn about online storage architectures, failure and non-failure tolerant volumes, RAID, online disks, and creating and managing volumes.

Storage Area Network Essentials

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Publisher : John Wiley & Sons
ISBN 13 : 0471267112
Total Pages : 528 pages
Book Rating : 4.4/5 (712 download)

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Book Synopsis Storage Area Network Essentials by : Richard Barker

Download or read book Storage Area Network Essentials written by Richard Barker and published by John Wiley & Sons. This book was released on 2002-10-23 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: The inside scoop on a leading-edge data storage technology The rapid growth of e-commerce and the need to have all kinds of applications operating at top speed at the same time, all on a 24/7 basis while connected to the Internet, is overwhelming traditional data storage methods. The solution? Storage Area Networks (SANs)--the data communications technology that's expected to revolutionize distributed computing. Written by top technology experts at VERITAS Software Global Corporation, this book takes readers through all facets of storage networking, explaining how a SAN can help consolidate conventional server storage onto networks, how it makes applications highly available no matter how much data is being stored, and how this in turn makes data access and management faster and easier. System and network managers considering storage networking for their enterprises, as well as application developers and IT staff, will find invaluable advice on the design and deployment of the technology and how it works. Detailed, up-to-date coverage includes: The evolution of the technology and what is expected from SANs Killer applications for SANs Full coverage of storage networking and what it means for the enterprise's information processing architecture Individual chapters devoted to the storage, network, and software components of storage networking Issues for implementation and adoption

Data Clustering: Theory, Algorithms, and Applications, Second Edition

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Author :
Publisher : SIAM
ISBN 13 : 1611976332
Total Pages : 430 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Data Clustering: Theory, Algorithms, and Applications, Second Edition by : Guojun Gan

Download or read book Data Clustering: Theory, Algorithms, and Applications, Second Edition written by Guojun Gan and published by SIAM. This book was released on 2020-11-10 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.

NoSQL For Dummies

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Publisher : John Wiley & Sons
ISBN 13 : 1118905741
Total Pages : 456 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis NoSQL For Dummies by : Adam Fowler

Download or read book NoSQL For Dummies written by Adam Fowler and published by John Wiley & Sons. This book was released on 2015-02-24 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get up to speed on the nuances of NoSQL databases and what they mean for your organization This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you. Featuring specific evaluation criteria for NoSQL databases, along with a look into the pros and cons of the most popular options, NoSQL For Dummies provides the fastest and easiest way to dive into the details of this incredible technology. You'll gain an understanding of how to use NoSQL databases for mission-critical enterprise architectures and projects, and real-world examples reinforce the primary points to create an action-oriented resource for IT pros. If you're planning a big data project or platform, you probably already know you need to select a NoSQL database to complete your architecture. But with options flooding the market and updates and add-ons coming at a rapid pace, determining what you require now, and in the future, can be a tall task. This is where NoSQL For Dummies comes in! Learn the basic tenets of NoSQL databases and why they have come to the forefront as data has outpaced the capabilities of relational databases Discover major players among NoSQL databases, including Cassandra, MongoDB, MarkLogic, Neo4J, and others Get an in-depth look at the benefits and disadvantages of the wide variety of NoSQL database options Explore the needs of your organization as they relate to the capabilities of specific NoSQL databases Big data and Hadoop get all the attention, but when it comes down to it, NoSQL databases are the engines that power many big data analytics initiatives. With NoSQL For Dummies, you'll go beyond relational databases to ramp up your enterprise's data architecture in no time.

Windows NT Microsoft Cluster Server

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Publisher : McGraw Hill Professional
ISBN 13 : 0072129034
Total Pages : 401 pages
Book Rating : 4.0/5 (721 download)

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Book Synopsis Windows NT Microsoft Cluster Server by : Richard Lee

Download or read book Windows NT Microsoft Cluster Server written by Richard Lee and published by McGraw Hill Professional. This book was released on 1999-04-22 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: NT is growing faster than any other operating system today, and Osborne's authoritative Windows NT Professional Library brings recognized industry leaders to hot topics, discussing implementation, tuning and design solutions. Master clustering--a key tool in building large-scale mission-critical enterprise applications and systems, including OLAP, online transaction processing, decision support and messaging systems; code named Wolfpack, this project has been widely anticipated by the NT community; expert author Richard Lee (NASA's data storage and retrieval expert) covers architecture and capabilities, configuring key system requirements, and troubleshooting holes and problems; implement value added solutions with unique CD loaded with utilities, applications and demos.

Industry Clusters and Innovation in the Arab World

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Author :
Publisher : Emerald Group Publishing
ISBN 13 : 1802628738
Total Pages : 240 pages
Book Rating : 4.8/5 (26 download)

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Book Synopsis Industry Clusters and Innovation in the Arab World by : Raghda El Ebrashi

Download or read book Industry Clusters and Innovation in the Arab World written by Raghda El Ebrashi and published by Emerald Group Publishing. This book was released on 2023-06-13 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry clusters promote innovation in the Arab World, through collaboration among businesses, research institutions, and governments. Benefits include the creation and sharing of knowledge, professional networking, access to spill-over knowledge, and specialized talent pools.

Big Data Concepts, Theories, and Applications

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Publisher : Springer
ISBN 13 : 3319277634
Total Pages : 437 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Big Data Concepts, Theories, and Applications by : Shui Yu

Download or read book Big Data Concepts, Theories, and Applications written by Shui Yu and published by Springer. This book was released on 2016-03-03 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.

Security and Persistence

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Publisher : Springer Science & Business Media
ISBN 13 : 1447131789
Total Pages : 402 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Security and Persistence by : John Rosenberg

Download or read book Security and Persistence written by John Rosenberg and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: During a short visit to Bremen in December 1989 John Rosenberg had several discussions with me about computer architecture. Although we had previously worked together for more than a decade in Australia we had not seen each other for over a year, following my move to Bremen in 1988. Meanwhile John was spending a year on study leave at the University of St. Andrews in Scotland with Professor Ron Morrison and his persistent programming research group. From our conversations it was quite clear that John was having a most fruitful time in St. Andrews and was gaining valuable new insights into the world of persistent programming. He was very keen to explore the significance of these insights for the MONADS Project, which we had been jOintly directing since the early 1980s. MONADS was not about persistent programming. In fact it had quite different origins, in the areas of software engineering and information protection. In an earlier stage of the project our ideas on these themes had led us into the world of computer architecture and even hardware deSign, in our attempts to provide an efficient base machine for our software ideas. The most important practical result of this phase of the project had been the development of the MONADS-PC, a mini computer which would be better compared with say a V tv