{"product_id":"scalable-big-data-architecture-a-practitioners-guide-to-choosing-relevant-big-data-architecture-von-bahaaldine-azarmi","title":"Scalable Big Data Architecture","description":"This \nbook highlights the different types of data architecture and illustrates the \nmany possibilities hidden behind the term \"Big Data\", from the usage of No-SQL \ndatabases to the deployment of stream analytics architecture, machine learning, \nand governance.\nScalable \nBig Data Architecture covers \nreal-world, concrete industry use cases that leverage complex distributed \napplications , which involve web applications, RESTful API, and high throughput \nof large amount of data stored in highly scalable No-SQL data stores such as \nCouchbase and Elasticsearch. This book demonstrates how data processing can be \ndone at scale from the usage of NoSQL datastores to the combination of Big Data \ndistribution.\nWhen \nthe data processing is too complex and involves different processing topology \nlike long running jobs, stream processing, multiple data sources correlation, \nand machine learning, it’s often necessary to delegate the load to Hadoop or \nSpark and use the No-SQLto serve processed data in real time.\nThis \nbook shows you how to choose a relevant combination of big data technologies \navailable within the Hadoop ecosystem. It focuses on processing long jobs, \narchitecture, stream data patterns, log analysis, and real time analytics. Every \npattern is illustrated with practical examples, which use the different open \nsourceprojects such as Logstash, Spark, Kafka, and so on.\nTraditional \ndata infrastructures are built for digesting and rendering data synthesis and \nanalytics from large amount of data. This book helps you to understand why you \nshould consider using machine learning algorithms early on in the project, \nbefore being overwhelmed by constraints imposed by dealing with the high \nthroughput of Big data.\nScalable \nBig Data Architecture is for \ndevelopers, data architects, and data scientists looking for a better \nunderstanding of how to choose the most relevant pattern for a Big Data project \nand which tools tointegrate into that pattern.\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9781484213278\"\u003e\u003ch3\u003eA practitioners guide to choosing relevant Big Data architecture\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9781484213278","offer_id":39417474089053,"sku":"9781484213278","price":58.84,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/43091deb-9328-4fff-8888-47e101ff4169.jpg?v=1775708075","url":"https:\/\/shop.autorenwelt.de\/products\/scalable-big-data-architecture-a-practitioners-guide-to-choosing-relevant-big-data-architecture-von-bahaaldine-azarmi","provider":"Autorenwelt Shop","version":"1.0","type":"link"}