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Price Distribution

Price distribution over 55 days • 2 price levels

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Price Analysis

Most common price: £53 (36 days, 65.5%)

Price range: £53 - £62

Price levels: 2 different prices over 55 days

Description

This manuscript provides a synthetic overview of research on data management in support of stream processing. It address all stages of the stream processing pipeline: data collection and in-transit processing at the edge, transfer towards the cloud processing sites, ingestion and persistent storage. First, the general context of stream data management is presented in light of the recent transition from Big to Fast Data. After highlighting the challenges at the data level associated with batch and real-time analytics, we introduce a subjective overview of proposals to address them. They bring solutions to the problems of in-transit stream storage and processing, fast data transfers, distributed metadata management, dynamic ingestion and transactional storage. The integration of these solutions into functional prototypes and the results of the large-scale experimental evaluations on clusters, clouds and supercomputers demonstrate their effectiveness for several real-life applications ranging from neuro-science to LHC nuclear physics. Finally, these contributions are put into the perspective of the High Performance Computing - Big Data convergence.

Product Specifications

Brand: ÉDITIONS UNIVERSITAIRES EUROPÉENNES
Format: paperback
ASIN: 6138485149
Category: Books > Subjects > Computing & Internet > Networking & Security > Network Topics
Domain: Amazon UK
Release Date: 23 April 2019
Listed Since: 18 May 2019

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ÉDITIONS UNIVERSITAIRES EUROPÉENNES From Big Data to Fast Data: Efficient Stream Data Management

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ÉDITIONS UNIVERSITAIRES EUROPÉENNES From Big Data to Fast Data: Efficient Stream Data Management

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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The Enterprise Big Data Framework: Building Critical Capabilities to Win in the Data Economy

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Big Data Technologies A Complete Guide - 2020 Edition

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