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Ebook Pdf Oracle Enterprise Manager Cloud Control 12c Deep Dive By Michael New. 08 13 contains important information and a. Oracle Press. Oracle Enterprise Manager. Cloud Control 12c. Deep Dive. Michael New. Edward Whalen. Matthew Burke. Mc. Graw. Hill. Education. New York. Master Oracle Enterprise Manager Cloud Control 12c Achieve peak database efficiency and derive unprecedented value from your corporate assets by.
Verify downloaded binaries Binaries structure What's new in Enterprise Manager Get the EM All the guides are on OTN. Use the Self Update feature to receive the agent binaries for agent deployment 6 New in Enterprise Manager For example:.
EM This directory contains configuration files for OMS home. The sysman directory in the OMS instance home contains the system management files associated with this Cloud Control installation.
The config directory contains Management Service configuration files. This directory contains log files for the Oracle Management Service.
Analytics workloads can also use the Oracle Database In-Memory  option on Exadata for additional acceleration, and In-Memory Databases on Exadata have been extended to take advantage of Flash memory capacity, many times larger than the capacity of DRAM.
Special Flash algorithms optimize Flash for response time sensitive database operations such as log writes. Exadata Design Concepts[ edit ] The hardware components that make up a typical database computing platform are a compute server connected over a network to a storage array.
The database software runs on the compute server and sends or receives database information to and from the storage array over the network. The hardware components use standard software protocols to "talk" to each other.
This separation via standard interfaces is what allows a computing platform to run a wide variety of software and hardware from different vendors. All of the application logic and the processing of the data is performed on the compute server, to which all the data must be sent. With this approach, a computing platform can be used for a wide range of software applications, though it will not be optimized for any particular application.
The goal of Exadata was to create a complete stack of software and hardware focused on the Oracle Database, that allowed processing to be moved to its optimal location.
If Exadata is only processing Oracle Database requests it can take advantage of that in all the software layers.
The hardware design can include elements that are most advantageous to Oracle Database applications, such as very fast InfiniBand networking and Flash memory. Given the importance of data storage to databases, Oracle was particularly focused on optimizing that aspect of the Exadata platform. Oracle wanted a storage layer for Exadata that could easily scale out and parallelize Oracle Database requests. It also recognized the opportunity for storage to cooperate in the processing of database requests beyond just storing and shipping data.
For example, rather than send an entire database table across the network to the compute server to find a small number of records, such data filtering could be done in storage and only the resulting records sent across the network.
The addition of Flash memory to Exadata Storage Servers also opened up a range of possibilities for optimizing performance in the storage layer.
Over time, as the performance and capacity of Flash storage increased at a rapid rate, the network became a performance bottleneck for traditional database platforms and Exadata's offloading of database processing into Exadata Storage Servers avoided that problem. The foundation of Exadata is the Exadata Storage Server   , invented by Oracle to replace the traditional storage array.
Also important is Oracle's ownership of all the main software and hardware components of Exadata, enabling changes to be deeply integrated and released in coordinated fashion. A further benefit for customers is the ability to support the entire Exadata platform from one vendor. Exadata Software[ edit ] Software enhancements specific to Exadata achieved better performance in some areas due to the integration of hardware and software.
For example, when an OLTP application commits a transaction to the database software, that request is viewed by Exadata as a critical operation and prioritized accordingly within the network and in the storage servers. The commit request will move in front of less important messages on the network and in the IO queue .
Another example is the use of Flash memory for caching data that is being accessed by Analytics applications.
Because a columnar data format is more effective for Analytics workloads, when Exadata moves the data row from disk to Flash, it automatically reformats the data into a columnar format . Both examples require the Oracle Database to understand the intent of the application and to cascade this understanding to the network and storage software, which behave accordingly.
Since Exadata's debut in , there have been at least two significant Exadata software releases per year, delivering dozens of "smart" software enhancements. Most of these enhancements are based on a smaller number of technical foundations, as explained below. Technical Concepts[ edit ] Offloading to Storage - refers to the execution of data-intensive database operations within the Exadata Storage Servers, such as data scans, table joins and filtering of rows and columns.
This reduces the amount of data that must ultimately be returned over the network to the compute servers, thus avoiding the network bottleneck.
Offloading is possible because Exadata storage is built on standard servers, capable of running database functions in coordination with the Oracle Database, simultaneous with storage IO. Over time, more database functions and more data types have been offloaded.