Data governance is the practice of ensuring that data collected and stored is subject to quality and security standards. Implementing a robust data governance architecture will support our efforts to protect customer data and will also be an investment in protecting future lines of business. Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”? Get the original essay An effective data governance architecture should cover systems, processes, accountability, employee practices, and external practices to ensure that quality and safety leaks are minimized. .Using the Data Governance Institute's DGI Data Governance Framework (citation), we will define the people and organizational bodies, rules and rules of engagement, and data governance processes at AirBnB using their framework in 10 games.Rules and Rules of Engagement1. Mission and Vision We are very clear about what we want to achieve and why we are implementing this plan: customer security is our priority and we must implement a data governance plan that demonstrates both internally and externally our commitments to our customers. Losing customer trust means losing customers, so it is imperative for AirBnB to take these steps to renew our customers' trust in our service.2. Goals, Metrics, Success Measures, and Funding The area of ​​data governance we will focus on is data security, with an emphasis on anomaly detection. We have established key business assumptions, key business requirements and acceptance criteria for these cybersecurity measures. A business case has been provided to AirBnB executive management that illustrates the negative financial impact of not implementing these measures to mitigate security risks.3. Data rules and definitions Additional rules and standards will be put in place regarding access management, data use, anomaly detection and data access. We will also clearly identify the data stakeholders (internal and external) who are represented and impacted by this new governance process, and ensure that all new procedures and standards are effectively communicated.4. Decision RightsWe will develop a RACI (Responsible, Accountable, Consult, Inform) matrix of stakeholders and employees to define data governance responsibilities within AirBnB and externally.5. ResponsibilitiesWe must cultivate a culture of accountability at AirBnB that begins and ends with IT, but throughout the data flow. Once this data governance process is implemented, we will monitor the processes and use dashboards and reports to track our progress against the plan.6. ControlsOur data infrastructure and data rules are modified with a focus on data security. Using secure systems such as Microsoft SQL as our data engine and [TBD] as our data lake configuration, along with security-related data rules, will help prevent and uncover security issues.7 . Data StakeholdersOur data stakeholder map will show who and what in the AirBnB ecosystem is generating data, using data, and making decisions about data. This will be useful when we implement processes throughout the data flow, soso that we can understand who is impacted and how.8. A Data Governance Office (DGO)A Data Governance Office (DGO) will be created in this new governance model to maximize the effectiveness and efficiency of our data governance implementation. The DGO will be responsible for managing and developing elements of the data governance roadmap, advocating for stakeholders, bridging gaps between AirBnB business units, and otherwise serving as a center of excellence for the company.9. Data StewardsA key part of our data governance process is ensuring that it is seen as a shared responsibility across the business, rather than just the responsibility of the DGO, so that Data Stewards will be distributed across business units .10. Data Governance ProcessThe DGO will be responsible for establishing the above framework and overseeing its execution at AirBnB. The combination of executive buy-in and detailed data stakeholder mapping by the DGO will support successful implementation and long-term success. Comparing the risks/benefits of two database engines1. Microsoft SQL Server is a database engine that runs on both cloud and on-premises servers. When configured correctly, this engine can run on both servers at the same time. It is available on Microsoft's Linux and Windows platforms. However, the cost of Microsoft SQL Server is too high and may be beyond the reach of the business. AirBnB management can use this database engine until they are able to track changes to the data over time. The engine also features dynamic data masking that ensures only authorized individuals can see sensitive company information. Once installed, AirBnB customers will be able to access the company's services on their mobile devices. It is also fast and stable. However, this database system could be subject to some level of risks, including consuming resources, as well as the challenge of integrating services when importing files.2. PostgreSQL is another database engine that AirBnB Ltd can use for data protection. It is common in web databases and is essential for managing both structured and unstructured data. Its latest version is PostgreSQL 9.5 which offers large volumes of data and an increased number of concurrent users. The company will be able to increase the number of users in its database while keeping track of each user, ensuring that the activities of any illegitimate users are quickly detected. AirBnB using this system will enjoy the benefits of enhanced security that will support DBMS SESSION and expanded password profiles offering more interfaces. The cost of this database, however, might be too high and if the company has a limited budget, it may not be able to afford it. Its use may also be subject to risks such as configuration challenges. AirBnB users may also suffer from access to business information, especially during large and important transactions.3. AirBnB can also use MongoDB as a database system to secure its information. MongoDB uses both structured and unstructured data and is a very versatile system that works by connecting databases to applications through Mongo DB database drivers. It's cheap from a cost perspective. if AirBnB management decides to use this database, it..