Data Backup and Recovery
After learning the various methods of data collection and how they can be applied in the field, the researcher in this paper was able to collect and analyze data on backup and disaster recovery plan. Every business faces problems at some point and therefore has to find a way to minimize the impacts or solve the issues completely. A disaster recovery plan is a method that provides a step by step procedure that helps in recovery of systems and networks that may have been disrupted. They hence help organizations and companies resume their usual operations after the disruptions Ferringer & Mcdonough, 2011). The main aim of a disaster recovery plan is to minimize any adverse effects that may have been caused by the interruption. The recovery process can identify severe Information Technological systems and networks, prioritize the primary objectives of their recovery time and outlines the steps required to reconfigure, recover and restart the operations.
An organization generates large amounts of data and files which tend to change severally throughout the day. As a result, data may be lost, compromised corrupted or even stolen due to errors committed by the user, hacking or hardware failure (Hiatt, 2000). Loss or damage of data may result in severe injuries in the organization or various business disruptions. In these cases, data backup and recovery should be an essential part of the business plans of an organization. The process of establishing a strategy for data backup begins with identifying the type of data or which data to backup, selecting and employing software and hardware procedures for backup, scheduling and conducting the backups and finally validating that the process is accurately done (Little & Chapa, 2003).
When collecting data, there are various questions that the researcher has to understand which include what challenges are in backup and disaster recovery plan, how to solve the challenges faced in backup and disaster recovery plan and how one can use the technologies related to cloud computing to identify and solve the problems found. For one to efficiently collect relevant data, one should be able to understand various data techniques. The qualitative and the quantitative data techniques will be suitable for our topic of backup and disaster recovery plan and will be appropriate to the meaning of our problem (Little et al., 2007).
In this research paper, we mainly focused on the qualitative data technique where the technique’s data recovery plan makes sure that the correct data required by critical processes of a business and essential for recovery is identified and made available into appropriate recovery timeframe. The qualitative technique is ideal for deducing as well as understands the whole idea of backup and disaster recovery plan. The method is flexible in the process of investigation. It is also precious when one wants to understand the complexity that is related to the behaviors and relationships of a human being.
The primary aim of this research paper is to explore and evaluate the problems and the solutions to those problems that the process of backup and disaster recovery plan may face in various organizations. When one uses the method of secondary data, getting data on the organizations being researched on may be unexpected and hence the realization the significance to establish a contingency plan such as the disaster recovery plan to protect their technological services in addition to severe operations of the business. The recovery plan is tailored to ensure that the continuation of critical business operations in the event of an unpredicted disaster occurs. For a disaster recovery plan to be successful, it should involve planning, establishing, testing and implementation of the disaster recovery management procedures, as well as operations, meant to ensure effective recommencement of critical business operations (Purba, 2000). Here are various businesses that practiced disaster recovery plan.
Analysis of Data Collection
One of the shortcomings faced by Google is the Google Doc. It suffered a disaster in the year 2011 in September. Google Doc is a public cloud platform that enables its users to upload access and share information. However, the platform can face issues troubleshoot. Google Doc was well known for its flexibility in public cloud architecture where most companies used the platform to perform their day to day activities. The main activities conducted by Google Docs include the organization and arrangement of important events and conferences and the sharing of documents and file amongst colleagues or clients (Preston, 2008). However, one fateful day, Google suffered an outage for approximately an hour. The blackout made completion of task difficult regarding daily activities. Cloud computing can be at the time a solution to many technological failures. However, a disaster recovery plan is more efficient since it involves several steps that counter unforeseen risks.
Among the successes of Google is the artificial intelligence DeepMind. A program created by Google DeepMind made history when it defeated Lee Sedol in the game of Go. Lee Sedol is among the best players of this game. The game involves the arrangement of chips in a chess oriented way. The game is considered as complex as the mind of a human being.
Another success of Google is the facial recognition where in China it has become common, and citizens are now making payments using facial recognition. They have also created software for facial recognition where the software can identify and monitor the movements and activities of its users.
Also, another success of Google is the launch of a rocket into the red planet. The company made history when it re-launched the Falcon 9 rocket and making it the first time one single rocket to be reused for several missions.
In 2011, Microsoft Company launched a productivity suite called Office 365 around August and September. However, few months after Office 365 was started, the media broke the news that Office 365 had failed and this crushed the hopes of users using Microsoft applications. Cloud computing was an option for the solution of the challenge Microsoft was facing, but some months later the company also experienced an outage with their DNS servers globally where the project collapsed.
Another failure of Microsoft is the Microsoft Mobile. However, the failure was not entirely Microsoft’s fault. The main problem was the fact the mobile came too late for it to have an impact or effect on the massive head start that the Apple Company and Android already had on the market.
Among the leading successes of Microsoft is the Microsoft Office which was initially started in 1983 with its first Word processor for MS-DOS (Varghese, 2002). The Word processor could write words in bold, italic, and also could underline formatting on-screen and also functioned with a mouse. The Microsoft Office came into use and introduced various applications such as Word, Excel, Access, Outlook, Powerpoint and OneNote.
Success Factors and Risks
Amazon’s most significant strategy is to focus on the long term. This strongly affects their financial and accounting procedures. While other companies work to provide significant returns, and having impressive profits. Amazon on the other hand often has little to no benefits. The company’s CEO stated in the 1997 manifesto that “It’s all about the long-term” (Stewart, 2011). Bezos goes even further to say that investors need to “make sure that a long-term approach “is consistent with your investment policy” (Stewart, 2011). This long-term growth approach may mean fewer profits, but Amazon is one of the largest growing companies and has substantial revenues.
Amazon Web Services’ (AWS) cloud-based platforms provide users with a flexible, easily scalable solution to meet their computing needs. It also eliminates the need for users to invest in a costly physical computer infrastructure of their own. So when it comes disaster recovery, this versatile, decentralized system is an ideal solution for your business.
However, while AWS might provide the necessary features for disaster recovery, these tools will prove useless in the absence of a comprehensive strategy.
AWS can help protect data managed in your own data centers by backing it up to the cloud. All kinds of customers use the cloud to replace tape, streamline media management and simplify archival processes. Most major backup software vendors integrate directly with AWS and preserve media catalogs and existing backup jobs.
References
De, G. P. (2017). Data protection: Ensuring data availability.
De, G. P. (2009). Enterprise systems backup and recovery: A corporate insurance policy. Boca Raton: CRC Press.
Desai, A. (2001). SQL Server 2000: Backup & recovery. Berkeley, Calif: Osborne/McGraw-Hill.
Ferringer, J. L., & Mcdonough, S. (2011). Sharepoint 2010 disaster recovery guide. Boston, MA: Course Technology, Cengere Learning.
Hiatt, C. J. (2000). A primer for disaster recovery planning in an IT environment. Hershey, Pa: Idea Group Pub.
Little, D. B., & Chapa, D. A. (2003). Implementing backup and recovery: The readiness guide for the enterprise. New York: Wiley.
Little, D. B., Farmer, S., & El-Hilali, O. (2007). Digital data integrity: The evolution from passive protection to active management. Chichester: John Wiley & Sons.
Purba, S. (2000). Data management handbook. Boca Raton, Fla: Auerbach.
Preston, W. C. (2008). Backup & Recovery. Sebastopol: O’Reilly Media, Inc.
Varghese, M. (2002). Disaster Recovery. Boston: Course Technology.
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