找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Data-intensive Systems; Principles and Funda Tomasz Wiktorski Book 2019 The Author(s), under exclusive license to Springer Nature Switzerla

[復制鏈接]
查看: 15328|回復: 46
樓主
發(fā)表于 2025-3-21 18:27:45 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data-intensive Systems
副標題Principles and Funda
編輯Tomasz Wiktorski
視頻videohttp://file.papertrans.cn/264/263339/263339.mp4
概述Introduces students to core concepts before they continue with advanced technical literature.Only strictly educational text on the market not tied to just one software framework.Clear didactic approac
叢書名稱Advanced Information and Knowledge Processing
圖書封面Titlebook: Data-intensive Systems; Principles and Funda Tomasz Wiktorski Book 2019 The Author(s), under exclusive license to Springer Nature Switzerla
描述Data-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape..The material in the book is structured following a problem-based approach. This means that the content in the chapters is focused on developing solutions to simplified, but still realistic problems using data-intensive technologies and approaches. The reader follows one reference scenario through the whole book, that uses an open Apache dataset..The origins of this volume are in lectures from a master’s course in Data-intensive Systems, given at the University of Stavanger. Some chapters were also a base for guest lectures at Purdue University and Lodz University of Technology..
出版日期Book 2019
關(guān)鍵詞Data-intensive systems; Big Data; Data Science; MapReduce; Hadoop
版次1
doihttps://doi.org/10.1007/978-3-030-04603-3
isbn_softcover978-3-030-04602-6
isbn_ebook978-3-030-04603-3Series ISSN 1610-3947 Series E-ISSN 2197-8441
issn_series 1610-3947
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2019
The information of publication is updating

書目名稱Data-intensive Systems影響因子(影響力)




書目名稱Data-intensive Systems影響因子(影響力)學科排名




書目名稱Data-intensive Systems網(wǎng)絡(luò)公開度




書目名稱Data-intensive Systems網(wǎng)絡(luò)公開度學科排名




書目名稱Data-intensive Systems被引頻次




書目名稱Data-intensive Systems被引頻次學科排名




書目名稱Data-intensive Systems年度引用




書目名稱Data-intensive Systems年度引用學科排名




書目名稱Data-intensive Systems讀者反饋




書目名稱Data-intensive Systems讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:13:28 | 只看該作者
Hadoop 101 and Reference Scenario,ton application that will reduce entrance barriers for more advanced topics. You will explore these topics in later chapters that will be based on the code and dataset you will become familiar with right now.
板凳
發(fā)表于 2025-3-22 00:53:05 | 只看該作者
地板
發(fā)表于 2025-3-22 04:53:28 | 只看該作者
5#
發(fā)表于 2025-3-22 09:30:21 | 只看該作者
1610-3947 t tied to just one software framework.Clear didactic approacData-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more
6#
發(fā)表于 2025-3-22 15:00:50 | 只看該作者
7#
發(fā)表于 2025-3-22 20:46:34 | 只看該作者
8#
發(fā)表于 2025-3-23 01:08:17 | 只看該作者
9#
發(fā)表于 2025-3-23 01:26:11 | 只看該作者
10#
發(fā)表于 2025-3-23 08:51:26 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-26 12:03
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
华蓥市| 延津县| 莒南县| 板桥市| 乐安县| 冀州市| 宁国市| 岑溪市| 金秀| 金坛市| 腾冲县| 固原市| 同心县| 贺兰县| 瑞丽市| 朝阳区| 云梦县| 锦州市| 沙坪坝区| 山东省| 化州市| 大冶市| 华亭县| 哈巴河县| 台北市| 宜都市| 秭归县| 金门县| 浦北县| 志丹县| 霍林郭勒市| 桃源县| 永新县| 积石山| 临沂市| 柳州市| 阿克苏市| 德兴市| 江门市| 桦甸市| 宾川县|