TOPIC 1
A database can be created in several options, including using a DBCA utility or writing a script. There are two options for using the DBCA (Database Configuration Assistant): simple installation or sophisticated installation. Automatic memory allocation is enabled by default in the basic installation, whereas the advanced installation offers three options: autonomous memory allocation, automatically shared memory allocation, automatic PGA memory allocation, manually shared memory allocation, and automatic PGA memory managing. Unless otherwise specified, manual main memory management is used when building the database via script. Most of the Oracle DBMS must have a warn log labeled alert db_name.log, as according to Alapati (2009), which allows administrators to see all substantial changes and events occurring within the DBMS for the reason of debugging when problems arise and you need to go back in time.
The alert log is used when the Oracle instances are running, and it displays all of the initialization parameters as well as the starting procedure. Most database error logs, diagnosing files, and dumped files should be saved in the Automated Diagnostic Repository (ADR), which has several aware logs, one in script or the other in the XML files. You can, however, arrange a script to check the log for both you and mail the results instead of entering it into the databases to locate the mistakes. As the database administrator, you can review the findings to identify flaws and repair them before they cause severe problems. When constructing a database, backup files are vital because they will be the primary location you go to recover the databank in the event of a user error, a breach of security, or system catastrophes caused by ordinary catastrophes such as hurricanes or control outages.
Topic 2
The Database Configuration Assistant is a Java-based GUI application for creating, configuring, and deleting databases. This has been improved in 10g R2 to handle the Automatic Storage Managing (ASM) instance. Because it is a more automated approach, DBCA is the preferred way to establish a database. However, there are several beneficiary ways an individual or organization can learn from the Oracle database and some of its importance to the users. The databases are updated regularly to include new and improved features targeted at businesses and organizations. As a result of its consistent commitment to producing the best databases, Oracle has risen to prominence in the software market (Tamayo et al., 2005). The following are some of the things I’ve learned in this class: Oracle databases exist, first and foremost, as an outcome of Oracle’s dedication to customer gratification. All Oracle databases, for example, are backward compatible.
This enables companies to improve their offerings without having to rebuild their database system entirely. This enables low-cost and speedy updates. Furthermore, new Oracle database releases include new features while keeping popular features from earlier versions (Kumar et al., 1998). Second, at the corporate level, Oracle databases are used in practically every application. As an outcome, Oracle databases are the gold standard in the banking industry. Many of the world’s biggest banks use Oracle databases. Oracle’s skills are largely responsible for this (Kumar et al., 1998). They provide a unique blend of cutting-edge innovation and all-encompassing business solutions. Almost any firm that wants to store and access big volumes of data can benefit from this. Finally, Oracle is a program that works brilliantly when faced with demanding jobs. Oracle databases breezed through the assessment, which is an important tool for verifying data integrity. Because the primary objective of a system is to retain reliable data, this test is crucial. Oracle databanks have been proved to provide good data storage integrity as a result of this.
References
Alapati, S. R. (2009). Expert Oracle Database 11g Administration. Berkeley, CA: Apress.
Kumar, A., Sud, A., & Heydinger, A. (1998). Application of oracle 7.3 system for the development of an environmental database. Environmental Progress & Sustainable Energy, 17(3), F11.
Tamayo, P., Berger, C., Campos, M., Yarmus, J., Milenova, B., Mozes, A., … & Myczkowski, J. (2005). Oracle data mining. In Data mining and knowledge discovery handbook (pp. 1315-1329). Springer, Boston, MA.
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