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標(biāo)題: Titlebook: Expert Oracle Exadata; Kerry Osborne,Randy Johnson,Tanel P?der Book 2011 Kerry Osborne and Randy Johnson and Tanel Poder 2011 [打印本頁(yè)]

作者: 海市蜃樓    時(shí)間: 2025-3-21 17:26
書目名稱Expert Oracle Exadata影響因子(影響力)




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書目名稱Expert Oracle Exadata網(wǎng)絡(luò)公開度




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書目名稱Expert Oracle Exadata被引頻次




書目名稱Expert Oracle Exadata被引頻次學(xué)科排名




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書目名稱Expert Oracle Exadata讀者反饋




書目名稱Expert Oracle Exadata讀者反饋學(xué)科排名





作者: BLINK    時(shí)間: 2025-3-22 00:19
Offloading / Smart Scan,oncept of moving processing from the database servers to the storage layer. It is also the key paradigm shift provided by the Exadata platform. But it’ more than just moving work in terms of CPU usage. The primary benefit of Offloading is the reduction in the volume of data that must be returned to
作者: 平    時(shí)間: 2025-3-22 03:25
Hybrid Columnar Compression,d out in a beta version of 11gR2 and was enabled on both Exadata and non-Exadata platforms. The production release of 11gR2 restricted the feature to Exadata platforms only. Ostensibly this decision was made because the additional processing power available on the Exadata storage servers. Because th
作者: Anal-Canal    時(shí)間: 2025-3-22 08:01

作者: Cardiac    時(shí)間: 2025-3-22 12:06
Exadata Smart Flash Cache,eem to like the term “flash,” which is associated with at least a half dozen features as well. To add to the confusion, there are two features in Oracle Database 11g Release 2 that have almost exactly the same names, Database Smart Flash Cache (DBFC) and Exadata Smart Flash Cache (ESFC). While both
作者: HARD    時(shí)間: 2025-3-22 16:30
Exadata Parallel Operations,ng is a key component of Exadata because efficient handling of Data Warehouse workloads was a primary design goal for Exadata. In addition, because Offloading/Smart Scan depends on direct path reads, which are used by parallel query slaves, parallel operations take on a whole new importance. Traditi
作者: HARD    時(shí)間: 2025-3-22 19:50

作者: 你正派    時(shí)間: 2025-3-22 22:09

作者: osculate    時(shí)間: 2025-3-23 03:56
Recovering Exadata,system, your disk drives begin aging. Disk drives have come a long way in the past 30 years, and typical life expectancy has improved dramatically. At the end of the day, though, it’s a matter of “when” a disk will fail, not “if.” And we all know that many disk drives fail long before they should. K
作者: Flagging    時(shí)間: 2025-3-23 05:47

作者: Offstage    時(shí)間: 2025-3-23 10:39

作者: Highbrow    時(shí)間: 2025-3-23 17:25

作者: 名字的誤用    時(shí)間: 2025-3-23 19:35
Storage Layout,tegrated with ASM and provides the underlying disks that have traditionally been presented to ASM by the operating system. Looking at all the various intricacies of cell storage can be a little daunting at first. There are several layers of abstraction between physical disks and the ASM disk groups
作者: 我悲傷    時(shí)間: 2025-3-23 22:59

作者: 收藏品    時(shí)間: 2025-3-24 05:13

作者: 字的誤用    時(shí)間: 2025-3-24 08:41
https://doi.org/10.1007/978-3-642-93661-6mbination of hardware and software that provides a platform for running Oracle Database (version 11g Release 2 as of this writing). Since the Exadata Database Machine includes a storage subsystem, new software has been developed to run at the storage layer. This has allowed the developers to do some
作者: Plaque    時(shí)間: 2025-3-24 12:03
,Die Quellen der Geschiebeführung,oncept of moving processing from the database servers to the storage layer. It is also the key paradigm shift provided by the Exadata platform. But it’ more than just moving work in terms of CPU usage. The primary benefit of Offloading is the reduction in the volume of data that must be returned to
作者: 加入    時(shí)間: 2025-3-24 15:40

作者: PATRI    時(shí)間: 2025-3-24 22:42

作者: defibrillator    時(shí)間: 2025-3-25 01:50
Chemisch-kosmetische Technologie,eem to like the term “flash,” which is associated with at least a half dozen features as well. To add to the confusion, there are two features in Oracle Database 11g Release 2 that have almost exactly the same names, Database Smart Flash Cache (DBFC) and Exadata Smart Flash Cache (ESFC). While both
作者: 永久    時(shí)間: 2025-3-25 04:29

作者: QUAIL    時(shí)間: 2025-3-25 10:07

作者: 是突襲    時(shí)間: 2025-3-25 15:16

作者: Grasping    時(shí)間: 2025-3-25 16:40
,Operationen auf den W-, A- und S-R?umen,system, your disk drives begin aging. Disk drives have come a long way in the past 30 years, and typical life expectancy has improved dramatically. At the end of the day, though, it’s a matter of “when” a disk will fail, not “if.” And we all know that many disk drives fail long before they should. K
作者: 圍裙    時(shí)間: 2025-3-25 21:50

作者: 花爭(zhēng)吵    時(shí)間: 2025-3-26 01:27

作者: Nefarious    時(shí)間: 2025-3-26 07:01
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.
作者: 音的強(qiáng)弱    時(shí)間: 2025-3-26 12:08

作者: 使迷惑    時(shí)間: 2025-3-26 15:13

作者: Verify    時(shí)間: 2025-3-26 19:03

作者: Thyroid-Gland    時(shí)間: 2025-3-26 23:05
978-1-4302-3392-3Kerry Osborne and Randy Johnson and Tanel Poder 2011
作者: 阻撓    時(shí)間: 2025-3-27 04:36
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.
作者: 擦掉    時(shí)間: 2025-3-27 09:18
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作者: Cytology    時(shí)間: 2025-3-27 10:40
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.
作者: DAMN    時(shí)間: 2025-3-27 14:01
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.
作者: 健談    時(shí)間: 2025-3-27 18:15
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.
作者: Precursor    時(shí)間: 2025-3-27 23:12

作者: catagen    時(shí)間: 2025-3-28 02:10

作者: Eeg332    時(shí)間: 2025-3-28 09:54
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.
作者: CRP743    時(shí)間: 2025-3-28 12:37

作者: 似少年    時(shí)間: 2025-3-28 15:56
https://doi.org/10.1007/978-3-642-93661-6 things that are just not possible on other platforms. In fact, Exadata really began its life as a storage system. If you talk to people involved in the development of the product, you will commonly hear them refer the storage component as Exadata or SAGE (Storage Appliance for Grid Environments), which was the code name for the project.
作者: MOCK    時(shí)間: 2025-3-28 19:26
What Is Exadata?, things that are just not possible on other platforms. In fact, Exadata really began its life as a storage system. If you talk to people involved in the development of the product, you will commonly hear them refer the storage component as Exadata or SAGE (Storage Appliance for Grid Environments), which was the code name for the project.
作者: 甜得發(fā)膩    時(shí)間: 2025-3-29 02:04
o move SQL processing to the storage layer..Throughout history, advances in technology have come in spurts. A single great idea can often spur rapid change as the idea takes hold and is propagated, often in totally unexpected directions. Exadata embodies such a change in how we think about and manag
作者: Transfusion    時(shí)間: 2025-3-29 06:31

作者: Longitude    時(shí)間: 2025-3-29 09:18
https://doi.org/10.1007/978-3-663-13343-8Exadata platforms only. Ostensibly this decision was made because the additional processing power available on the Exadata storage servers. Because the feature is restricted to Exadata, the recent documentation refers to it as Exadata Hybrid Columnar Compression (EHCC).
作者: 排斥    時(shí)間: 2025-3-29 14:05

作者: EVEN    時(shí)間: 2025-3-29 17:49
Grundri? des sozialen Versicherungsrechtsines. But as we all know, this is rarely the case. It is the same for database servers. When the load on the system is light, there is very little need for resource management. Processes complete in a fairly consistent period of time. But when the system gets busy and resources become scarce, we can find ourselves with an angry mob on our hands.
作者: 繁殖    時(shí)間: 2025-3-29 22:19

作者: penance    時(shí)間: 2025-3-30 00:35
Horst Haar,Yvonne Kollak,Gerhard Sieverty different mindset. That is not to say that everything is different. In fact, most of the fundamental principles remain unchanged. After all, the same database software runs on Exadata that runs on other platforms. But there are some things that are just fundamentally different.
作者: BAIT    時(shí)間: 2025-3-30 06:59
https://doi.org/10.1007/978-3-322-85689-0ame utility Oracle uses to configure Exadata. The utility is called OneCommand. It takes site-specific information you provide and performs the entire configuration from network, to software, to storage. When the process is complete, your Exadata Database Machine will be fully functional, including a starter database.
作者: cultivated    時(shí)間: 2025-3-30 08:17
,Operationen auf den W-, A- und S-R?umen,istrator. For many DBAs, Exadata is going to change that. Many Exadata systems out there are being managed entirely by the DBA staff. Whether or not this is the case in your data center, the procedure for recovering from a disk failure on Exadata is going to be a little different than you are used to.
作者: 孤僻    時(shí)間: 2025-3-30 16:12
https://doi.org/10.1007/978-3-322-80804-2er will focus on describing these new events and how they relate to the activities actually being performed, while contrasting them with the wait events used by the database on non-Exadata platforms. It will also describe a few wait events that aren’t specific to Exadata but play an important role on Exadata platforms.
作者: 地名詞典    時(shí)間: 2025-3-30 19:57

作者: Palpable    時(shí)間: 2025-3-30 22:58
Recovering Exadata,istrator. For many DBAs, Exadata is going to change that. Many Exadata systems out there are being managed entirely by the DBA staff. Whether or not this is the case in your data center, the procedure for recovering from a disk failure on Exadata is going to be a little different than you are used to.
作者: 退潮    時(shí)間: 2025-3-31 02:32
Exadata Wait Events,er will focus on describing these new events and how they relate to the activities actually being performed, while contrasting them with the wait events used by the database on non-Exadata platforms. It will also describe a few wait events that aren’t specific to Exadata but play an important role on Exadata platforms.
作者: Irremediable    時(shí)間: 2025-3-31 07:58
Offloading / Smart Scan,’ more than just moving work in terms of CPU usage. The primary benefit of Offloading is the reduction in the volume of data that must be returned to the database server. This is one of the major bottlenecks of most large databases.
作者: N防腐劑    時(shí)間: 2025-3-31 10:39

作者: Libido    時(shí)間: 2025-3-31 14:37
Exadata Smart Flash Cache,le Database 11g Release 2 that have almost exactly the same names, Database Smart Flash Cache (DBFC) and Exadata Smart Flash Cache (ESFC). While both features make use of flash-based memory devices, they are very different. This chapter is focused on ESFC so we’ll only mention DBFC in passing.




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