Real Time Stream Data Management

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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.

Practical Real Time Data Processing And Analytics

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Author : Shilpi Saxena
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-09-28

Practical Real Time Data Processing And Analytics written by Shilpi Saxena and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-28 with Computers categories.

A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book Learn about the various challenges in real-time data processing and use the right tools to overcome them This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time Who This Book Is For If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great. What You Will Learn Get an introduction to the established real-time stack Understand the key integration of all the components Get a thorough understanding of the basic building blocks for real-time solution designing Garnish the search and visualization aspects for your real-time solution Get conceptually and practically acquainted with real-time analytics Be well equipped to apply the knowledge and create your own solutions In Detail With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you'll be equipped with a clear understanding of how to solve challenges on your own. We'll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You'll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case. By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner. Style and Approach In this practical guide to real-time analytics, each chapter begins with a basic high-level concept of the topic, followed by a practical, hands-on implementation of each concept, where you can see the working and execution of it. The book is written in a DIY style, with plenty of practical use cases, well-explained code examples, and relevant screenshots and diagrams.

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.

Streaming Intelligence Mastering Stream Processing For Real Time Data Analysis

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Author : Dr.K.Sundravadivelu
language : en
Publisher: SK Research Group of Companies
Release Date : 2024-08-10

Streaming Intelligence Mastering Stream Processing For Real Time Data Analysis written by Dr.K.Sundravadivelu and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-10 with Computers categories.

Dr.K.Sundravadivelu, Assistant Professor, Department of Computer Science, School of Information Technology, Madurai Kamaraj University, Madurai, Tamil Nadu, India. Mrs.P.Renuka, Assistant Professor, Department of Computer Applications, Dhanalakshmi Srinivasan College of Arts and Science for Women (Autonomous), Perambalur, Tamil Nadu, India. Mrs.V.Suganthi, Assistant Professor, Department of Computer Science, C.T.T.E College for Women, Affiliated to University of Madras, Chennai, Tamil Nadu, India. Mrs.S.Durgadevi, Assistant Professor, Department of Computer Applications, Dhanalakshmi Srinivasan College of Arts and Science for Women (Autonomous), Perambalur, Tamil Nadu, India. Mr.B.Murali Krishna, Assistant Professor, Department of Computer Science and Engineering, Vignan's LARA Institute of Technology and Science, Vadlamudi, Andhra Pradesh, India.

Proceedings

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Author : Luiz Bacellar
language : en
Publisher:
Release Date : 2004

Proceedings written by Luiz Bacellar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Web databases categories.

International Conference On Scientific And Statistical Database Management

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Author :
language : en
Publisher:
Release Date : 2004

International Conference On Scientific And Statistical Database Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Database design categories.

Data Stream Management

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Author : Lukasz Golab
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2010

Data Stream Management written by Lukasz Golab and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.

Offers 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. The book discusses two types of systems for end-to-end stream processing: Data Stream Management Systems (DSMSs) and Streaming Data Warehouses (SDWs).

Explorer Xvii 1963 9a Real Time Pcm Telemetry Data Processing And Display Test Stand

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Author : M. M. Grant
language : en
Publisher:
Release Date : 1964

Explorer Xvii 1963 9a Real Time Pcm Telemetry Data Processing And Display Test Stand written by M. M. Grant and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1964 with Aeronautics categories.

The Atmospheric Structure Satellite (Goddard Space Flight Center project S-6), successfully launched on April 2, 1963, was designated Explorer XVII. This spacecraft operated on command, consumed high power, and had the highest PCM telemetry data rate of any scientific satellite at the date of launch. A major problem related to the development, test, and orbital monitoring of this spacecraft was the quick and accurate evaluation of the telemetry data. The problem was solved by incorporating an automatic data processing system as an integral part of the spacecraft telemetry test stand. Two such systems were utilized in the integration, test, and prelaunch phases and for orbital monitoring throughout the scheduled 100-day satellite lifetime.

Efficient Query Processing For Modern Data Management

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Author : Utkarsh Hriday Srivastava
language : en
Publisher:
Release Date : 2006

Efficient Query Processing For Modern Data Management written by Utkarsh Hriday Srivastava 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.

Energy Efficient Data Management Techniques In Wireless Sensor Networks

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Author : Haiyang Liu
language : en
Publisher:
Release Date : 2007

Energy Efficient Data Management Techniques In Wireless Sensor Networks written by Haiyang Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.