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: Expert Oracle Exadata; Kerry Osborne,Randy Johnson,Tanel P?der Book 2011 Kerry Osborne and Randy Johnson and Tanel Poder 2011

[復(fù)制鏈接]
樓主: 海市蜃樓
31#
發(fā)表于 2025-3-26 23:05:31 | 只看該作者
978-1-4302-3392-3Kerry Osborne and Randy Johnson and Tanel Poder 2011
32#
發(fā)表于 2025-3-27 04:36:22 | 只看該作者
Kerry Osborne,Randy Johnson,Tanel P?derExpert Oracle Exadata opens up the internals of the Exadata platform so that you can fully benefit from Oracle‘s groundbreaking technology to move SQL processing to the storage layer.
33#
發(fā)表于 2025-3-27 09:18:55 | 只看該作者
http://image.papertrans.cn/e/image/319169.jpg
34#
發(fā)表于 2025-3-27 10:40:59 | 只看該作者
Zweite Erprobung im Unterricht,ware. Most of the usual database performance rules still apply, with the addition of some that recognize the advantage of Exadata functionality like Smart Scans, cell join filtering and the flash cache. In this chapter we will cover the Exadata-specific and -related performance topics, metrics, and some relevant internals.
35#
發(fā)表于 2025-3-27 14:01:19 | 只看該作者
Sanna Pohlmann-Rother,Jan M. Boelmannny, many hours learning about Exadata, proving its value to the company, and planning how you will make the most of this powerful database platform. No doubt it has been a long road to travel but you aren’t there quite yet. Now the real work begins— migration.
36#
發(fā)表于 2025-3-27 18:15:32 | 只看該作者
Understanding Exadata Performance Metrics,ware. Most of the usual database performance rules still apply, with the addition of some that recognize the advantage of Exadata functionality like Smart Scans, cell join filtering and the flash cache. In this chapter we will cover the Exadata-specific and -related performance topics, metrics, and some relevant internals.
37#
發(fā)表于 2025-3-27 23:12:52 | 只看該作者
38#
發(fā)表于 2025-3-28 02:10:21 | 只看該作者
39#
發(fā)表于 2025-3-28 09:54:42 | 只看該作者
Monitoring Exadata Performance,By now you have learned about the key Exadata performance features and the related performance metrics. Let’s see how we can use these for everyday tasks. We will look at standard tools available for database-layer and cell performance monitoring, and how to interpret their output.
40#
發(fā)表于 2025-3-28 12:37:04 | 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(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 03:27
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
清原| 南郑县| 台中市| 海安县| 封丘县| 满洲里市| 和田县| 古浪县| 丽水市| 麻阳| 秀山| 绵竹市| 沂源县| 嘉黎县| 安岳县| 临泽县| 宜城市| 萝北县| 沙雅县| 揭东县| 福州市| 环江| 祁连县| 历史| 晋州市| 叶城县| 芦溪县| 通海县| 山阴县| 通河县| 禄丰县| 涟水县| 枣阳市| 威信县| 博白县| 宜川县| 新兴县| 荔波县| 宁城县| 汨罗市| 盐城市|