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 Shouldn't Be Banned"? Get an Original EssayAn effective data governance architecture must cover systems, processes, responsibilities, employee practices, and external practices to ensure that quality and security leaks are minimized. Using the Data Governance DGI Data Governance Framework Institute (citation) we will define the people and organizational bodies, rules and regulations of engagement, and processes for data governance at AirBnB using their 10-part framework.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 customers. our customers. Losing customer trust means losing customers, so it is crucial that AirBnB takes these measures to renew our customers' trust in our service.2. Goals, Metrics, Measures of Success, and Funding The area of ​​data governance we will focus on is data security, with a focus 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's executive leadership illustrating the negative financial impact of not implementing these measures to mitigate security risks.3. Data rules and definitions Additional rules and standards will be introduced regarding access management, data use, anomaly detection and data access. Additionally, we will clearly map the data stakeholders (internal and external) who are represented and impacted by this new governance process and ensure that any new procedures and standards are communicated effectively.4. Decision Rights We will develop a RACI (Responsible, Accountable, Consult, Inform) matrix of stakeholders and employees to define data governance responsibilities within AirBnB and externally.5. Accountability We must cultivate a culture of accountability at AirBnB that doesn't start and end with IT, but across the data flow. Once we implement this data governance process, we will monitor the processes and use dashboards and reports to monitor our progress against the schedule.6. Controls Our data infrastructure and policies are being modified with a focus on data security. Using secure systems such as Microsoft SQL as the data engine and [TBD] as the data lake configuration and security-related data rules will help prevent and discover security issues.7. Data Stakeholders Our data stakeholder map will show who and what in the AirBnB ecosystem generates data, uses data, and makes decisions about data. This will be useful when we implement processes along the flow of the data flow, so we can understand who is affected and how.8. A Data Governance Office (DGO) In this new governance model, a Data Governance Office (DGO) will be established to maximize the effectiveness and efficiency of our implementationof data governance. The DGO will be responsible for managing and developing data governance roadmap elements, supporting stakeholders, bridging gaps across AirBnB business units, and otherwise serving as a Center of Excellence for the enterprise.9. Data StewardsA key part of our data governance process is to ensure that it is seen as a shared responsibility across the business, rather than just a DGO responsibility, so Data Stewards will be distributed across business units.10. Data Governance Processes The DGO will be responsible for establishing the above framework and overseeing its execution at AirBnB. The combination of executive-level consensus and detailed data stakeholder mapping by the DGO will support successful implementation and long-term success. Risk/Benefit Comparison of Two Database Engines1. Microsoft SQL Server is a database engine that runs on both cloud-based and on-premises servers. If set up correctly, this engine can run on both servers at the same time. It is available on both Microsoft's Linux and Windows-based platforms. However, the cost of Microsoft SQL Server is too high and may be beyond the company's reach. AirBnB management can use this database engine until it can track changes to the data over time. The engine also features dynamic data masking that ensures that only authorized people can see sensitive company information. Once installed, AirBnB customers will be able to access the company's services on their mobile devices. It's also fast and stable. However, this database system may be subject to a certain level of risks, such as resource consumption, 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 a larger number of concurrent users. The company will be able to increase the number of users in its database and at the same time keep track of each user ensuring that the activities of any illegitimate users are promptly detected. AirBnB using this system will enjoy the benefits of increased security that will support expanded DBMS-SESSION and password profiles using multiple interfaces. The cost of this database, however, may 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 challenge. AirBnB users may also have problems accessing company information, particularly during large operations.3. AirBnB can also use MongoDB as a database system to protect its information. MongoDB uses both structured and unstructured data and is a very versatile system that works by connecting databases to applications via Mongo DB database drivers. It is economical from a cost perspective. if AirBnB management decides to use this database, they will be able to enjoy advantages such as speed and ease of use. Furthermore, whether structured or unstructured, the data stored in this system can be easily tracked. The system, however, is subject to risks such as failure to protect its default settings and so, where a query language is critical, the database may not help the business.4. MariaDB is a free DBMS and is also offered in a free version. It is a fastest growing open source database.