Scalable Big Data Architecture

Bahaaldine Azarmi

ISBN 10: 1484213270 / ISBN 13: 9781484213278

Verlag: Apress, Apress Dez 2015, 2015

Beschreibung

Neuware -Thisbook highlights the different types of data architecture and illustrates themany possibilities hidden behind the term 'Big Data', from the usage of No-SQLdatabases to the deployment of stream analytics architecture, machine learningand governance.ScalableBig Data Architecture coversreal-world, concrete industry use cases that leverage complex distributedapplications , which involve web applications, RESTful API, and high throughputof large amount of data stored in highly scalable No-SQL data stores such asCouchbase and Elasticsearch. This book demonstrates how data processing can bedone at scale from the usage of NoSQL datastores to the combination of Big Datadistribution.Whenthe data processing is too complex and involves different processing topologylike long running jobs, stream processing, multiple data sources correlationand machine learning, it¿s often necessary to delegate the load to Hadoop orSpark and use the No-SQLto serve processed data in real time.Thisbook shows you how to choose a relevant combination of big data technologiesavailable within the Hadoop ecosystem. It focuses on processing long jobsarchitecture, stream data patterns, log analysis, and real time analytics. Everypattern is illustrated with practical examples, which use the different opensourceprojects such as Logstash, Spark, Kafka, and so on.Traditionaldata infrastructures are built for digesting and rendering data synthesis andanalytics from large amount of data. This book helps you to understand why youshould consider using machine learning algorithms early on in the projectbefore being overwhelmed by constraints imposed by dealing with the highthroughput of Big data.ScalableBig Data Architecture is fordevelopers, data architects, and data scientists looking for a betterunderstanding of how to choose the most relevant pattern for a Big Data projectand which tools tointegrate into that pattern.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 160 pp. Englisch.

Bestandsnummer des Verkäufers 9781484213278

Bibliografische Details

• Titel: Scalable Big Data Architecture
• Verlag: Apress, Apress Dez 2015
• Erscheinungsjahr: 2015
• Sprache: Englisch
• ISBN-10: 1484213270
• ISBN-13: 9781484213278
• Einband: Taschenbuch
• Zustand: Neu

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Über die Autorin bzw. den Autor

Bahaaldine Azarmi is the co-founder and CTO of reach five, a Social Data Marketing Platform. Bahaaldine has a strong background and expertise skills in REST API and Big Data architecture. Prior to founding reach five, Bahaaldine worked as a technical architect & evangelist for large software vendors such as Oracle & Talend.

He has a master’s degree of computer science from Polytech’Paris engineering school, Paris.