Foundations for Architecting Data Solutions

Foundations for Architecting Data Solutions
Author: Ted Malaska
Publisher: "O'Reilly Media, Inc."
Total Pages: 196
Release: 2018-08-29
Genre: Computers
ISBN: 1492038695
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While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution. Authors Ted Malaska and Jonathan Seidman guide you through the major components necessary to start, architect, and develop successful big data projects. Everyone from CIOs and COOs to lead architects and developers will explore a variety of big data architectures and applications, from massive data pipelines to web-scale applications. Each chapter addresses a piece of the software development life cycle and identifies patterns to maximize long-term success throughout the life of your project. Start the planning process by considering the key data project types Use guidelines to evaluate and select data management solutions Reduce risk related to technology, your team, and vague requirements Explore system interface design using APIs, REST, and pub/sub systems Choose the right distributed storage system for your big data system Plan and implement metadata collections for your data architecture Use data pipelines to ensure data integrity from source to final storage Evaluate the attributes of various engines for processing the data you collect

Database Internals

Database Internals
Author: Alex Petrov
Publisher: O'Reilly Media
Total Pages: 373
Release: 2019-09-13
Genre: Computers
ISBN: 1492040312
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When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

Distributed Database Management Systems

Distributed Database Management Systems
Author: Saeed K. Rahimi
Publisher: John Wiley & Sons
Total Pages: 692
Release: 2015-02-13
Genre: Computers
ISBN: 1118043537
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This book addresses issues related to managing data across a distributed database system. It is unique because it covers traditional database theory and current research, explaining the difficulties in providing a unified user interface and global data dictionary. The book gives implementers guidance on hiding discrepancies across systems and creating the illusion of a single repository for users. It also includes three sample frameworks—implemented using J2SE with JMS, J2EE, and Microsoft .Net—that readers can use to learn how to implement a distributed database management system. IT and development groups and computer sciences/software engineering graduates will find this guide invaluable.

Distributed Storage: Concepts, Algorithms, and Implementations

Distributed Storage: Concepts, Algorithms, and Implementations
Author: Yaniv Pessach
Publisher:
Total Pages: 106
Release: 2013-02-17
Genre: Computer storage devices
ISBN: 9781482561043
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Organizations today depend heavily on their data. Even short periods of data outages can be expensive and result in loss of productivity, as well as financial consequences, while permanent data loss can be catastrophic. Therefore, reliability and means to efficiently store and access such data is an important component of most large organizations' IT infrastructure. Much of this data is still stored in the most versatile format, the 'flat file'. This eBook provides both an academic and historic perspective on the development of distributed file systems and details some of the core algorithms, such as quorum protocols that are used in distributed storage systems. This book can be used as a short, stand-alone introduction to the field or as a resource for an academic course in the topic.

Distributed Data Store

Distributed Data Store
Author: Gerardus Blokdyk
Publisher: Createspace Independent Publishing Platform
Total Pages: 142
Release: 2018-05-12
Genre:
ISBN: 9781718939226
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Are there any easy-to-implement alternatives to Distributed data store? Sometimes other solutions are available that do not require the cost implications of a full-blown project? Are assumptions made in Distributed data store stated explicitly? Are there recognized Distributed data store problems? How do we measure improved Distributed data store service perception, and satisfaction? Do you monitor the effectiveness of your Distributed data store activities? This breakthrough Distributed data store self-assessment will make you the assured Distributed data store domain visionary by revealing just what you need to know to be fluent and ready for any Distributed data store challenge. How do I reduce the effort in the Distributed data store work to be done to get problems solved? How can I ensure that plans of action include every Distributed data store task and that every Distributed data store outcome is in place? How will I save time investigating strategic and tactical options and ensuring Distributed data store costs are low? How can I deliver tailored Distributed data store advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Distributed data store essentials are covered, from every angle: the Distributed data store self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Distributed data store outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Distributed data store practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Distributed data store are maximized with professional results. Your purchase includes access details to the Distributed data store self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book.

Distributed Data Management for Grid Computing

Distributed Data Management for Grid Computing
Author: Michael Di Stefano
Publisher: John Wiley & Sons
Total Pages: 309
Release: 2005-09-15
Genre: Computers
ISBN: 0471738212
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Discover grid computing-how to successfully build, implement, and manage widely distributed computing architecture With technology budgets under increasing scrutiny and system architecture becoming more and more complex, many organizations are rethinking how they manage and use technology. Keeping a strong business focus, this publication clearly demonstrates that the current ways of tying applications to dedicated hardware are no longer viable in today's competitive, bottom line-oriented environment. This evolution in distributed computing is leading a paradigm shift in leveraging widely distributed architectures to get the most processing power per IT dollar. Presenting a solid foundation of data management issues and techniques, this practical book delves into grid architecture, services, practices, and much more, including: * Why businesses should adopt grid computing * How to master the fundamental concepts and programming techniques and apply them successfully to reach objectives * How to maximize the value of existing IT investments The author has tailored this publication for two distinct audiences. Business professionals will gain a better understanding of how grid computing improves productivity and performance, what impact it can have on their organization's bottom line, and the technical foundations necessary to discuss grid computing with their IT colleagues. Following the author's expert guidance and practical examples, IT professionals, architects, and developers will be equipped to initiate and carry out successful grid computing projects within their own organizations.

Distributed Data Storage A Complete Guide - 2020 Edition

Distributed Data Storage A Complete Guide - 2020 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 308
Release: 2020-02-20
Genre:
ISBN: 9781867334460
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What are the performance and scale of the Distributed data storage tools? How can a Distributed data storage test verify your ideas or assumptions? Is there a clear Distributed data storage case definition? What are customers monitoring? Do you monitor the effectiveness of your Distributed data storage activities? This astounding Distributed Data Storage self-assessment will make you the trusted Distributed Data Storage domain master by revealing just what you need to know to be fluent and ready for any Distributed Data Storage challenge. How do I reduce the effort in the Distributed Data Storage work to be done to get problems solved? How can I ensure that plans of action include every Distributed Data Storage task and that every Distributed Data Storage outcome is in place? How will I save time investigating strategic and tactical options and ensuring Distributed Data Storage costs are low? How can I deliver tailored Distributed Data Storage advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Distributed Data Storage essentials are covered, from every angle: the Distributed Data Storage self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Distributed Data Storage outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Distributed Data Storage practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Distributed Data Storage are maximized with professional results. Your purchase includes access details to the Distributed Data Storage self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Distributed Data Storage Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Distributed Data Warehousing Using Web Technology

Distributed Data Warehousing Using Web Technology
Author: R. A. Moeller
Publisher: Amacom Books
Total Pages: 384
Release: 2001
Genre: Computers
ISBN: 9780814405888
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This text presents an overview of what's required to set up and use a distributed data warehouse. It includes topics such as, basic functions and benefits, Web-enabling computing technologies, and a full idea of what a data warehouse can deliver.

Storing and Managing Big Data - NoSQL, Hadoop and More: High-impact Strategies - What You Need to Know

Storing and Managing Big Data - NoSQL, Hadoop and More: High-impact Strategies - What You Need to Know
Author: Kevin Roebuck
Publisher: Tebbo
Total Pages: 0
Release: 2011
Genre: Computers
ISBN: 9781743045749
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Over the last several years there are two important trends that require additional thought when putting together an architecture for a hosted service. The ability to analyze and process enormous amounts of data is increasingly important. From a technology perspective, the two trends to focus on are: 1. Batch processing -- the increasing awareness of batch processing and the recent uptick in use of the map educe paradigm for that purpose; Distributed computing is a field of computer science that studies distributed systems. 2. NoSQL stores - The rise of so called ""NoSQL"" stores and their use to serve up data to online users; a distributed file system or network file system is any file system that allows access to files from multiple hosts sharing via a computer network. This makes it possible for multiple users on multiple machines to share files and storage resources. Both of these trends represent significant advances in the way that hosted systems are developed. But in order to derive the most value for an entire system, developers must think about how these two areas will work together in some holistic manner. This book is your ultimate resource for Storing and managing big data- NoSQL, Hadoop and more. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Storing and managing big data- NoSQL, Hadoop and more right away, covering: Distributed data store, Background Intelligent Transfer Service, BATON Overlay, BitVault, Bootstrapping node, Chimera (software library), Chord (peer-to-peer), Cloud (operating system), CoDeeN, Collaber, Collanos, Comparison of streaming media systems, Comparison of video hosting services, Content addressable network, Content delivery network, Coral Content Distribution Network, Data center, Distributed file system, Distributed hash table, Distributed Networking, FAROO, Globule (CDN), GlusterFS, Grid casting, Hibari (database), High performance cloud computing, HTTP(P2P), Hyper distribution, Infrastructure for Resilient Internet Systems, Jigdo, JXTA, Kademlia, Key-based routing, Koorde, Legion (software), MagmaFS, Metalink, NeoEdge Networks, Octoshape, Ono (P2P), Osiris (Serverless Portal System), OverSim, P-Grid, P2P-Next, P2PTV, PAST storage utility, Pastry (DHT), Peer-to-peer wiki, Prefix hash tree, Proactive network Provider Participation for P2P, Rawflow, Sciencenet, Similarity Enhanced Transfer, Space-based architecture, Superdistribution, Tapestry (DHT), Tulip Overlay, Tuotu, Web acceleration, YaCy, Aquiles, BigTable, Apache Cassandra, Column family, Hector (API), Keyspace (distributed data store), NoSQL, Standard column family, Super column family, Tombstone (data store), Voldemort (distributed data store), Andrew File System, Apache Hadoop, Apache Hive, BigCouch, Ceph, The Circle (file system), Cloudant, Cloudera, CloudStore, DCE Distributed File System, Direct Access File System, Distributed File System (Microsoft), FhGFS, Gfarm file system, Global Storage Architecture, Google File System, HAMMER, IBM General Parallel File System, Infinit, Lustre (file system), MapR, Moose File System, OFFSystem, OneFS distributed file system, Parallel Virtual File System, POHMELFS, Sector/Sphere, Storage@home, Tahoe Least-Authority Filesystem, Wuala, XtreemFS This book explains in-depth the real drivers and workings of Storing and managing big data- NoSQL, Hadoop and more. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Storing and managing big data- NoSQL, Hadoop and more with the objectivity of experienced professionals.

Distributed Data Store A Complete Guide - 2020 Edition

Distributed Data Store A Complete Guide - 2020 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 304
Release: 2020-02-16
Genre:
ISBN: 9781867331148
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What are the costs of delaying Distributed data store action? Will existing staff require re-training, for example, to learn new business processes? To what extent does each concerned units management team recognize Distributed data store as an effective investment? What needs improvement? Why? How will measures be used to manage and adapt? This valuable Distributed Data Store self-assessment will make you the established Distributed Data Store domain adviser by revealing just what you need to know to be fluent and ready for any Distributed Data Store challenge. How do I reduce the effort in the Distributed Data Store work to be done to get problems solved? How can I ensure that plans of action include every Distributed Data Store task and that every Distributed Data Store outcome is in place? How will I save time investigating strategic and tactical options and ensuring Distributed Data Store costs are low? How can I deliver tailored Distributed Data Store advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Distributed Data Store essentials are covered, from every angle: the Distributed Data Store self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Distributed Data Store outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Distributed Data Store practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Distributed Data Store are maximized with professional results. Your purchase includes access details to the Distributed Data Store self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Distributed Data Store Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.