| 书目名称 | Scalable Big Data Architecture | | 副标题 | A practitioners guid | | 编辑 | Bahaaldine Azarmi | | 视频video | http://file.papertrans.cn/862/861029/861029.mp4 | | 概述 | This book not only gives a landscape of Big Data ecosystem, but will guide the readers on the reasons to use a project regarding a Big Data use case, as well.A step by step guide that will walk you th | | 图书封面 |  | | 描述 | .This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance...Scalable Big Data Architecture. covers real-world, concrete industry use cases that leverage complex distributed applications , which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution..When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it’s often necessary to delegate the load to Hadoop or Spark and use the No-SQLto serve processed data in real time..This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log a | | 出版日期 | Book 2016 | | 关键词 | Big Data; NoSQL; Jobs Topology; Big Data Streaming; Querying and Analysing; Machine Learning | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-1326-1 | | isbn_softcover | 978-1-4842-1327-8 | | isbn_ebook | 978-1-4842-1326-1 | | copyright | Bahaaldine Azarmi 2016 |
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