Disaster backup/disaster recovery

Database backup
In information technology, backup is the process of copying and archiving the computer data so that one can use it to restore the original after an event of data loss occurs (Mullins, 2012). There are two distinct purposes of backups. One is to recover the data after its loss maybe because of data deletion or corruption. The data loss may be a common experience of the computer users. The second purpose of the backup is to recover the data from the earlier time according to the user-defined data retention policy. There are two divisions of the backups that include the logical and the physical backups (Dafoulas & Ward 2011). The logical backups usually contain the logical data from the database with the Oracle export utility. It is stored in a binary file so as to help in later re-importing to a database using the corresponding Oracle import utility. On the other hand, the physical backup refers to the backup of the physical files that is used for storing and also recovering databases such as the control files and the data files. It is a copy of the files storing database information to another location whether it is on offline storage or a disk.

The database backup tends to form a duplicate of the data when the backup is complete. With a backup, it is easy for an individual to recreate the whole database from the backup in just one step that involves restoring the database. During restoring, it is a process that involves overwriting the existing database or it may create a database in case it does not exist (Dafoulas & Ward 2011). During backup, it is a process that tends to use a lot of storage space for every backup, and it also requires more time so as to completely backup all the operations.

With the Oracle backup, the types of backups include the logical backup, cold backup, and the hot backups. The hot backup is a backup of the data while it is running. Oracle tends to have RMAN which usually ensures the success in the hot backup. A cold backup is a backup that involves the offline physical backup, which is a process that happens when the database is not operating. It is a type of backup that accommodates all of the essential data files and other database components (Snedaker, 2014). On the other side, the logical backup is that backup of the tablespace, schemas, and whole database. Since an organization has a large amount of data, it is essential for the database administrators to use the automatic backup utilities that are available in a database such as ORACLE.

Any of the backup strategies used tends to start with the data repository. The backup data should be stored and organized to a degree. Other types of data backups include the full backup, differential backup, incremental backup, and mirror backup. The differential backup is the backup that includes all the files that changed since the last full backup. The incremental backup is the backup including files that changed in the last backup process (Snedaker, 2014). The full backup refers to the initial process of the backup that includes all the files and folders. Mirror backup is the backup of all files of the data that changed since the last full backup.

Disaster planning
Disaster planning is important as it helps in ensuring the continuation of the business processes if a disaster happens. Disaster is a term that is relative since disasters tend to occur in varying degrees. Disaster planning is essential as it offers an effective solution to use in recovering all the vital business processes (Whitman et al. 2013). The disaster recovery plan tends to offer the procedures for handling emergency situations. In disaster planning, the plan must offer information for the proactive handling of the crisis and must include detailed procedures for communication, executives, investor relations, human resources, and technology management. The plan must also document the procedures, responsibilities, and the checklist to use in managing and controlling the situation following the crisis.

Disaster planning tends to offer a state of readiness that allows prompt personnel response after a disaster occurs. It tends to provide a more efficient and effective recovery process. A disaster recovery plan must be able to accomplish several objectives. These objectives include managing the recovery operation in an effective and organized manner, recovering information and data imperative to the operation of critical applications (Mullins, 2012). It should also assess the damage, repair damage, and activate the impaired computer center. Every business tends to have the responsibility of responding to short or long term disruption of the services. Developing, documenting, implementing and testing the disaster recovery plan enable the business to restore the availability of the critical applications in an organized and timely manner after the occurrence of a disaster.

The advantages of disaster planning are that it results in improved technology. An organization requires improving IT systems so as to support the recovery objectives that you develop in disaster planning. The attention that one pays to recoverability leads to making the IT systems more consistent with each other. Disaster planning also results to improved business process. Since the business processes tend to undergo analysis and scrutiny, the administrators may not help but find areas that need improvement (Whitman et al. 2013). Disaster planning also benefits the organization through fewer disruptions. Because of improved technology, the IT systems are more stable than in the past. When one make changes to the system architecture so as to meet the recovery objectives, the events that used to cause outage do not do so anymore. Disaster planning also offers a competitive advantage because having good disaster recovery plan provides the organization with bragging rights that cab outshines the competitors. Disaster recovery plan tends to allow the organization to claim higher reliability and availability of services.

During disaster planning, it is significant that one should define the strategy to follow when employing the required softness to ensure the principles of detection, prevention, and response to the disaster. Such a strategy tends to define the activities that people will participate in when a disaster occurs, and it has a plan for explaining how to conduct the activities. It is essential for the organization to set the priorities of the processes and operations that they should perform. A disaster recovery plan is essential for the company as it contains the action that will help reduce the impact of the disaster and enable the organization to resumes its operation as fast as possible (Schin, 2014). It is an important aspect of the organization because it helps the organization save a lot of costs that it would incur if it never had a disaster recovery plan.

Importance of integrating backups and disaster planning
Database recovery is an essential aspect of disaster recovery. The purpose of the database backup is so as to safeguard the data in the case that a disruptive event occurs. The disaster planning aims at safeguarding the data and also the physical devices. It is important to integrate database backups and disaster planning as they work as complementary to each other when both of them are not properly implemented. Integrating database backup and disaster planning are important as backup database help in deciding the data to keep a backup for, and disaster planning helps in selecting the suitable backup plan for the physical storage of the data (Schin, 2014). Disaster planning is important as it helps to pinpoint the likely areas for problems. During planning, one need to assign tasks to different people so that everyone can know what is expected of them. Then again, backing up data and storing the copy off site may help to ensure that if a disaster strikes, one can move on without a lot of disruption.

It is important to execute database backup and disaster planning effectively. Failure of effectively executing them can result in a lot of loss to the organization. Without good backup and disaster planning, the organization can lose essential data and even customer data that can be of negative impact on the company (Mullins, 2012). When the two are not properly integrated, it can cause confusion to workers in the organization when an event of disaster happens as employees will not understand what to do in such a situation. Therefore, the damage can be much when the plan and backup are not properly executed.

Data Quality Management: For Improved Accuracy and Reliability in Delhi’s Data Analysis Processes

In the era of information overload, data has become the lifeblood of decision-making processes across various industries. From healthcare to finance and from retail to government, organisations heavily rely on data to drive their strategies and operations. However, the usefulness of data hinges on its quality—accuracy, completeness, reliability, and relevance. In Delhi, where the pace of digital transformation is rapid, ensuring data quality management is paramount, especially for professionals undergoing a Data Analyst Course.

Understanding Data Quality Management

Data Quality Management (DQM) encompasses a set of processes, techniques, and technologies aimed at ensuring that data meets the necessary standards for usability and reliability. It involves identifying data quality issues, implementing corrective measures, and maintaining data integrity throughout its lifecycle. In the context of Delhi’s bustling data landscape, DQM holds immense significance for organisations and individuals seeking a Data Analyst Course in Delhi.

Challenges in Data Quality

Delhi’s dynamic environment presents unique challenges to data quality. The sheer volume of data collected daily, coupled with its diverse sources and formats, makes maintaining accuracy and reliability a daunting task. Moreover, factors such as data duplication, inconsistency, and outdated information further exacerbate the challenge. For aspiring data analysts, understanding these challenges is crucial for navigating the intricacies of real-world data analysis.

Importance of Data Quality Management

Effective DQM practices are indispensable for organisations aiming to derive meaningful insights and arrive at important decisions. With ensured data accuracy and reliability, businesses can enhance operational efficiency, minimise risks, and gain a competitive edge. Moreover, in a city like Delhi, where data-driven policymaking plays a pivotal role in governance, maintaining data quality is essential for fostering transparency and accountability. For professionals aspiring to excel in the field of data analysis, mastering DQM principles is a cornerstone of success, making a Data Analyst Course in Delhi indispensable.

Key Strategies for Data Quality Management

Achieving and maintaining high data quality requires a systematic approach encompassing various strategies and best practices. Some key strategies include:

Data Profiling: Conducting comprehensive assessments of data to identify anomalies, inconsistencies, and inaccuracies.
Data Cleansing: Implementing processes to rectify errors, remove duplicates, and standardise data formats.
Data Governance: Establishing policies, procedures, and responsibilities for managing data assets and ensuring compliance with regulatory requirements.
Continuous Monitoring: Implementing mechanisms to monitor data quality in real-time and address issues proactively.
Stakeholder Collaboration: Engaging stakeholders across departments to foster a culture of data stewardship and collective responsibility.
Technology in Data Quality Management

The recent tech advancements have significantly transformed the landscape of data quality management. Automated tools and platforms equipped with capabilities such as data profiling, cleansing, and monitoring streamline the DQM process, reducing manual efforts and enhancing efficiency. In Delhi, where the tech ecosystem is thriving, leveraging such technologies is imperative for organisations and professionals to stay ahead of the curve.

Conclusion

In conclusion, data quality management is indispensable for ensuring accuracy and reliability in Delhi’s data analysis processes. As organisations wrestle with the challenges posed by the burgeoning volume and complexity of data, mastering DQM practices becomes imperative for driving informed decision-making and gaining a competitive edge. For aspirants pursuing a Data Analyst Course, understanding and implementing effective DQM strategies is essential for success in the dynamic field of data analysis. By prioritising data quality, organisations and individuals alike can unlock the full potential of data as a strategic asset in Delhi’s digital age.

School uniform policy

Introduction

The assessment of the debate of whether children should wear school uniform is one that has been in existence for long amid the assertion that schools in the US should adopt a uniform policy. The adoption of the uniforms rules had been considered as a means of stopping children from dressing in gang colors in most of the troubled urban areas. Later, there were assertions that the introduction of school uniforms resulted in the better discipline while the results of these students improved, an issue that encouraged different districts as well as schools to implement the change. However, issues that support the desire not to have uniforms in the school incline me into supporting those who argue against the introduction of the uniform policy.

One of the assertions by the proponents of the school uniform policy is that it leads to the creation of a desirable feeling of belonging to an institution for the students wearing the uniform. The assertion is, however, wrong, as making the wearing of uniforms by the students will only lead to the hampering of the students’ original thinking. Compelling children to subscribe to a certain way of thinking hampers their independence in future, being unable to make their opinions without the assistance of others effectively. Everyone has a right to individuality, making one’s decisions as well as expressing their personality (Wilken, Ilani, & Van Aardt, P 159-184). Compelling children to wear the certain type of clothing thus is an infringement of their right of free expression. The assertion, in this case, is that the protection of the right to free expression is central to the development of the personalities of the young people, and choosing what to wear to should be left within their purview.

The assertion that adopting the policy on school uniforms is going to be a way of ensuring that the students are more focused on their education and not their clothes have been used to support the adoption of the uniform policy. The fact when it comes to the assessment of the issue is that school uniforms have become a means of promoting the element of conformity over the case for individuality. The culture that characterizes the current school environments is that promote the appreciation of the diversity of the children, which implies that the efforts that are geared towards the enforcement of the standardized dress code are a contradiction to this culture (Gentile, Elisabetta, & Imberman, P1-17). Further, the issue of the gendered schools that dictate boys have to wear pants while girls wear skirts, it brings new challenges in a society that is keen in accommodating the transgendered individuals, gender non-conforming as well as the gender fluid students who are left feeling ostracized.

There has been the assertion by the supporters of the policy on school uniforms that they assist in the creation of the leveled playing ground among the students from different background in addition to the reduction of peer pressure and bullying. The assertion has however been found to be flawed in that the adoption of school uniforms does not reduce the cases of bullying and that it has been seen to increase the case of bullying (Mimmo, P4-5). The issue here is that the introduction of the compulsory school uniforms the doubling of fights in the middle schools in the same year. The fact that there does not exist official data supporting the assertion that the introduction of the compulsory uniforms serves to reduce the case of violence in schools further serves to water down the argument of the parties supporting the introduction.

The argument that introducing uniform policy serves to enhance the pride of school, the unity as well as the community spirit. The fact of the matter, however, is that school uniforms fail to address an issue of academic preparedness, school attendance, and the exam results. The overall assertion is that the adoption of the school uniforms does not have any impact on the desire of the students to attend schools, behavioral improvements as well as issues of substance abuse (Brookshire, P6-18. It has become evident through research that school uniforms have no impact on the performance of the second-grade students in mathematics and reading examination, with the case being the same for the 10th-grade mathematics, reading, and history and science examinations.

The further assertion that school uniforms help parents to save money and thus supporting the adoption of the school uniform policy has been negated by the fact that the time that is spent addressing the enforcement of the district the stakeholders from resolving the core issues affecting the schools (Bhembe & Mfanzile, P20.35). The time and resources spent on the assessment of how the policy is going to be implemented only served to detract the concerned parties from the efforts meant to reduce the rates of crime as well as enhance school performance.

Conclusion

The debate on whether the schools should make school uniforms compulsory for all students has been raging for a long time. Proponents of the policy have been working hard to demonstrate the diverse issues that make it necessary to adopt the policy, with reducing of burying, enhancing performance, reduce costs for the parents being among the main issues. It is, however, evident that the policy will produce more harm that the good it is intimated to produce, with most of these assertions used to support its adoption found not to be true.