Data Stream Management
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Data Stream Management
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Author : Minos Garofalakis
language : en
Publisher: Springer
Release Date : 2016-07-11
Data Stream Management written by Minos Garofalakis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-11 with Computers categories.
This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authorities in the field, offers a comprehensive introduction to both the algorithmic/theoretical foundations of data streams, as well as the streaming systems and applications built in different domains. A short introductory chapter provides a brief summary of some basic data streaming concepts and models, and discusses the key elements of a generic stream query processing architecture. Subsequently, Part I focuses on basic streaming algorithms for some key analytics functions (e.g., quantiles, norms, join aggregates, heavy hitters) over streaming data. Part II then examines important techniques for basic stream mining tasks (e.g., clustering, classification, frequent itemsets). Part III discusses a number of advanced topics on stream processing algorithms, and Part IV focuses on system and language aspects of data stream processing with surveys of influential system prototypes and language designs. Part V then presents some representative applications of streaming techniques in different domains (e.g., network management, financial analytics). Finally, the volume concludes with an overview of current data streaming products and new application domains (e.g. cloud computing, big data analytics, and complex event processing), and a discussion of future directions in this exciting field. The book provides a comprehensive overview of core concepts and technological foundations, as well as various systems and applications, and is of particular interest to students, lecturers and researchers in the area of data stream management.
Data Stream Management
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Author : Lukasz Golab
language : en
Publisher: Springer
Release Date : 2010-06-02
Data Stream Management written by Lukasz Golab and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-02 with Computers categories.
Many applications process high volumes of streaming data, among them Internet traffic analysis, financial tickers, and transaction log mining. In general, a data stream is an unbounded data set that is produced incrementally over time, rather than being available in full before its processing begins. In this lecture, we give an overview of recent research in stream processing, ranging from answering simple queries on high-speed streams to loading real-time data feeds into a streaming warehouse for off-line analysis. We will discuss two types of systems for end-to-end stream processing: Data Stream Management Systems (DSMSs) and Streaming Data Warehouses (SDWs). A traditional database management system typically processes a stream of ad-hoc queries over relatively static data. In contrast, a DSMS evaluates static (long-running) queries on streaming data, making a single pass over the data and using limited working memory. In the first part of this lecture, we will discuss research problems in DSMSs, such as continuous query languages, non-blocking query operators that continually react to new data, and continuous query optimization. The second part covers SDWs, which combine the real-time response of a DSMS by loading new data as soon as they arrive with a data warehouse's ability to manage Terabytes of historical data on secondary storage. Table of Contents: Introduction / Data Stream Management Systems / Streaming Data Warehouses / Conclusions
Data Stream Management System
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Author : Gerard Blokdyk
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-05-25
Data Stream Management System written by Gerard Blokdyk and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-25 with categories.
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Data Stream Management System A Complete Guide
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2018-07-21
Data Stream Management System A Complete Guide written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-21 with categories.
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Data Stream Management System A Complete Guide 2020 Edition
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2020-05-15
Data Stream Management System A Complete Guide 2020 Edition written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-15 with categories.
Why improve in the first place? What does your signature ensure? Are you aware of what could cause a problem? How do you recognize an Data Stream Management System objection? What are the long-term Data Stream Management System goals? This premium Data Stream Management System self-assessment will make you the established Data Stream Management System domain expert by revealing just what you need to know to be fluent and ready for any Data Stream Management System challenge. How do I reduce the effort in the Data Stream Management System work to be done to get problems solved? How can I ensure that plans of action include every Data Stream Management System task and that every Data Stream Management System outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Stream Management System costs are low? How can I deliver tailored Data Stream Management System 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 Data Stream Management System essentials are covered, from every angle: the Data Stream Management System self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Stream Management System outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Stream Management System 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 Data Stream Management System are maximized with professional results. Your purchase includes access details to the Data Stream Management System 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 Data Stream Management System 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.
Real Time Stream Data Management
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Author : Wolfram Wingerath
language : en
Publisher: Springer
Release Date : 2019-01-02
Real Time Stream Data Management written by Wolfram Wingerath and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-02 with Computers categories.
While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to push new information to clients. Systems for data stream management and processing, on the other hand, are natively pushoriented and thus facilitate reactive behavior. However, they do not retain data indefinitely and are therefore not able to answer historical queries. The book provides an overview over the different (push-based) mechanisms for data retrieval in each system class and the semantic differences between them. It also provides a comprehensive overview over the current state of the art in real-time databases. It sfirst includes an in-depth system survey of today's real-time databases: Firebase, Meteor, RethinkDB, Parse, Baqend, and others. Second, the high-level classification scheme illustrated above provides a gentle introduction into the system space of data management: Abstracting from the extreme system diversity in this field, it helps readers build a mental model of the available options.
Relational Data Stream Management System Standard Requirements
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2018-08-24
Relational Data Stream Management System Standard Requirements written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-24 with categories.
What are your results for key measures or indicators of the accomplishment of your Relational data stream management system strategy and action plans, including building and strengthening core competencies? How will variation in the actual durations of each activity be dealt with to ensure that the expected Relational data stream management system results are met? What is Effective Relational data stream management system? How can we incorporate support to ensure safe and effective use of Relational data stream management system into the services that we provide? Who will be responsible for making the decisions to include or exclude requested changes once Relational data stream management system is underway? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Relational data stream management system investments work better. This Relational data stream management system All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Relational data stream management system Self-Assessment. Featuring 702 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Relational data stream management system improvements can be made. In using the questions you will be better able to: - diagnose Relational data stream management system projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Relational data stream management system and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Relational data stream management system Scorecard, you will develop a clear picture of which Relational data stream management system areas need attention. Your purchase includes access details to the Relational data stream management system self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. 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, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. 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.
Data Streams
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Author : Charu C. Aggarwal
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-03
Data Streams written by Charu C. Aggarwal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-03 with Computers categories.
This book primarily discusses issues related to the mining aspects of data streams and it is unique in its primary focus on the subject. This volume covers mining aspects of data streams comprehensively: each contributed chapter contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions. The book is intended for a professional audience composed of researchers and practitioners in industry. This book is also appropriate for advanced-level students in computer science.
Stream Data Management
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Author : Nauman Chaudhry
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-09-19
Stream Data Management written by Nauman Chaudhry and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-19 with Computers categories.
Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications. Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems proposed and implemented for managing streaming data. Stream Data Management is designed to appeal to researchers or practitioners already involved in stream data management, as well as to those starting out in this area. This book is also suitable for graduate students in computer science interested in learning about stream data management.
Continuous Queries Over Data Streams
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Author : Arvind Arasu
language : en
Publisher:
Release Date : 2006
Continuous Queries Over Data Streams written by Arvind Arasu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.