找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Database Performance at Scale; A Practical Guide Felipe Cardeneti Mendes,Piotr Sarna,Cynthia Dunlop Book‘‘‘‘‘‘‘‘ 2023 Felipe Cardeneti Mend

[復(fù)制鏈接]
查看: 10680|回復(fù): 50
樓主
發(fā)表于 2025-3-21 18:12:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Database Performance at Scale
副標(biāo)題A Practical Guide
編輯Felipe Cardeneti Mendes,Piotr Sarna,Cynthia Dunlop
視頻videohttp://file.papertrans.cn/264/263366/263366.mp4
概述This book is open access, which means that you have free and unlimited access.Discover new ways to optimize database performance.Avoid common mistakes that impact latency and throughput.Get practical
圖書(shū)封面Titlebook: Database Performance at Scale; A Practical Guide Felipe Cardeneti Mendes,Piotr Sarna,Cynthia Dunlop Book‘‘‘‘‘‘‘‘ 2023 Felipe Cardeneti Mend
描述.Discover critical considerations and best practices for improving database performance based on what has worked,?and failed,?across thousands of teams and use cases in the field. This open access book provides practical?guidance for understanding the?database-related opportunities, trade-offs, and traps you might encounter while trying to optimize data-intensive applications for high throughput and low latency. Whether you are building a new system from the ground up or trying to optimize an existing use case?for increased demand, this book covers the essentials..The book begins with a look at the manyfactors impacting database performance at the extreme scale that today’s gamechanging applications face—or at least hope to achieve. You’ll gain insightinto the performance impact of both technical and business requirements,and how those should influence your decisions around database?infrastructure?and topology. The authors share an inside perspective on often-overlooked engineering details that could be constraining—or helping—your team’s database performance. The book alsocovers benchmarking and monitoring practicesby which to measure and validate the outcomes from the decisions t
出版日期Book‘‘‘‘‘‘‘‘ 2023
關(guān)鍵詞ScyllaDb; Database Performance; Scalability; High Throughput; P99 Latency; Kafka; Business Requirements; No
版次1
doihttps://doi.org/10.1007/978-1-4842-9711-7
isbn_softcover978-1-4842-9710-0
isbn_ebook978-1-4842-9711-7
copyrightFelipe Cardeneti Mendes, Piotr Sarna, Pavel Emelyanov, Cynthia Dunlop 2023
The information of publication is updating

書(shū)目名稱Database Performance at Scale影響因子(影響力)




書(shū)目名稱Database Performance at Scale影響因子(影響力)學(xué)科排名




書(shū)目名稱Database Performance at Scale網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Database Performance at Scale網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Database Performance at Scale被引頻次




書(shū)目名稱Database Performance at Scale被引頻次學(xué)科排名




書(shū)目名稱Database Performance at Scale年度引用




書(shū)目名稱Database Performance at Scale年度引用學(xué)科排名




書(shū)目名稱Database Performance at Scale讀者反饋




書(shū)目名稱Database Performance at Scale讀者反饋學(xué)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(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:40:44 | 只看該作者
eering details that could be constraining—or helping—your team’s database performance. The book alsocovers benchmarking and monitoring practicesby which to measure and validate the outcomes from the decisions t978-1-4842-9710-0978-1-4842-9711-7
板凳
發(fā)表于 2025-3-22 02:17:21 | 只看該作者
地板
發(fā)表于 2025-3-22 04:40:30 | 只看該作者
5#
發(fā)表于 2025-3-22 11:40:27 | 只看該作者
Your Project, Through the Lens of Database Performance,em size/type, and so on. Then, it shifts over to business considerations like consistency requirements and high availability expectations. Throughout, the chapter talks about database attributes that have proven to be helpful—or limiting—in different contexts.
6#
發(fā)表于 2025-3-22 12:56:38 | 只看該作者
7#
發(fā)表于 2025-3-22 18:57:51 | 只看該作者
Benchmarking,interested parties in a way that reflects your business needs. There’s also hard mathematics involved: statistics and queueing theory to help with black boxes and measurements, not to mention domain-specific knowledge of the system internals of the servers, platforms, operating systems, and the software running on it.
8#
發(fā)表于 2025-3-22 23:16:58 | 只看該作者
n mistakes that impact latency and throughput.Get practical .Discover critical considerations and best practices for improving database performance based on what has worked,?and failed,?across thousands of teams and use cases in the field. This open access book provides practical?guidance for unders
9#
發(fā)表于 2025-3-23 02:22:41 | 只看該作者
10#
發(fā)表于 2025-3-23 06:30:24 | 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(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 17:07
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(fù) 返回頂部 返回列表
从化市| 安康市| 兰州市| 双峰县| 东安县| 大洼县| 即墨市| 微博| 全州县| 察隅县| 潼关县| 岳普湖县| 洪泽县| 福建省| 章丘市| 隆化县| 贺兰县| 安龙县| 原阳县| 木兰县| 革吉县| 黎川县| 依兰县| 始兴县| 赤城县| 铜川市| 尚志市| 靖安县| 德格县| 绍兴市| 蕉岭县| 沙田区| 盐城市| 邵东县| 叙永县| 桃园县| 磐安县| 时尚| 新绛县| 宁河县| 遵化市|