書目名稱 | Real-Time & Stream Data Management | 副標(biāo)題 | Push-Based Data in R | 編輯 | Wolfram Wingerath,Norbert Ritter,Felix Gessert | 視頻video | http://file.papertrans.cn/823/822246/822246.mp4 | 叢書名稱 | SpringerBriefs in Computer Science | 圖書封面 |  | 描述 | 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 push-oriented 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.. | 出版日期 | Book 2019 | 關(guān)鍵詞 | Real-time databases; database management; data stream management; stream processing; big data management | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-10555-6 | isbn_softcover | 978-3-030-10554-9 | isbn_ebook | 978-3-030-10555-6Series ISSN 2191-5768 Series E-ISSN 2191-5776 | issn_series | 2191-5768 | copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2019 |
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