What steps can you take to ensure your database project is maintainable and upgradable?

Documentation is necessary. As DBA, I've confronted with some companies where they don't have any documentation to install and configure DBMS server. For example, they have many sql server dockers with different versions and different features and configuration. It raises some problems in deployment plan, migration.

Based on my experience, the critical considerations for planning database migration/upgrade projects are outlined below: - What is the underlying reason driving the need for this project? Understanding the primary motivation behind upgrading or migrating databases is essential. - What is the comprehensive cost analysis of the project in terms of time, finances, and resources required for successful execution? - Are we aware of all dependencies on our databases, and do we possess the capability to manage or upgrade these dependencies to align with the latest version?

Documentation is necessary and we cant ignore other points like Compatibility, Cost, Security, dependencies on other databases. 1-Pre-Migration Inventory a Discovery b Assessment c Check List 2-SQL Installation a Installation Process b Paths c Data Directories d TempDB Settings e Server level Settings f Network /Firewall 3- Database Migration a Cutover Downtime Plan b Backup of Report DB c Copy Backup File d Restore Backup file e Script Deploy f SSRS Report Link 4-Post-Migration checks a Validation b Cleanup c QA Team and sign-off

Ensure your database project's maintainability and upgradability by thoroughly documenting the setup, dividing it into manageable components, tracking changes with version control, and conducting thorough testing to catch potential issues early on. Regularly back up your data, optimize the database structure for efficiency, implement error-handling mechanisms, prioritize security measures, and maintain vigilant monitoring for performance. These practices collectively ensure a well-organized, secure, and adaptable database system.

Establish backup and restore procedures to protect against data loss and ensure recoverability in case of disasters. Regularly backup the database and test the restore process to verify its effectiveness.

There are several things to consider when planning a database project. Keeping in mind how to keep it maintainable is key to a successful project, but moreover, a supportable project. Supportability, on a broader scale, is key to automating processes such as CU and Security patching, monitoring and maintenance. The DBA or DBA team who needs to support this database along with possibly hundreds or thousands of other databases, should be involved. Here are some key basics to consider when planning your database project and maintaining supportability: 1.) Involve your DBA team in the project plan, if there is one. 2.) Follow DBA team standards for development. i.e. enterprise standards, db best practices. 3.) Don't reinvent the wheel.

Very good! I believe that first of all, good planning is a point of great importance when thinking about developing a database.

This part of article reminds me ad-hoc queries. They sometimes raise a problem with performance. Developers should try to write Parameterized most frequently used queries. We can have a way to grab slow queries and send to developers to review. code review can be started with them.

Si se va a crear la base de datos desde cero es importante establecer y aplicar los estándares correspondientes tales como: - Nombre de la tablas, ejemplo: Empleados, empleados, EmpleadosDetalle, empleados_detalle, etc., - Nombre de los campos, por ejemplo: NombreEmpleado, nombre_empleado, etc., - Si vas a almacenar datos numericos y no vas a realizar ninguna operación aritmética con ellos, puedes guárdalos como texto. - Creación de catálogos, como por ejemplo pudiera ser el estatus del empleado, por ejemplo: Activo, Inactivo o Pendiente, etc.,

The sql server management studio is the platform I code with otters use visual code studio. Most platforms pops up what every statement does or modules. It gives a fair idea of the policies involved.

Planejar bem o projeto de banco de dados, seguir padr?es de desenvolvimento e otimizar o desempenho s?o práticas essenciais. Isso n?o só melhora a experiência no trabalho, mas também garante eficiência e resultados positivos.

Analysing query execution plans to identify bottlenecks and inefficiencies is crucial. This allows for targeted improvements in query performance, ensuring that the database can handle complex queries efficiently. Indexes help in quickly locating data, partitions allow for dividing large datasets into more manageable pieces, and clustering can improve the performance of certain types of queries. By storing frequently accessed data in memory, pre-loading data into buffers, and reusing connections, the overall performance can be enhanced. Regular use of monitoring tools helps in measuring performance metrics and identifying areas for improvement. Continuous monitoring ensures that any performance degradation is promptly addressed.

Integrate database tests seamlessly into deployment pipelines to ensure that changes are validated before they are deployed to production. This helps prevent issues and ensures a smoother upgrade process.

no cruzar mas de 4 tablas criticas para el negocio en una consulta join usar parameter sniffing no usar cursores se debe revisar constantemente la fragmentación de los índices y la actualización de estadísticas Implementar query store con el fin de detectar planes de ejecución óptimos

We should use from low level permission to high ones in granting permission. It can be challenging but worth trying. For example, if someone just wants to read, why do we grant write permission too? and if he or she just wants to run a job , no need to give sysadmin permission? However, find the best way to limit the tasks with desired permission. Be a bit stingy !

I find the following steps helpful securing database access: Implement role-based access control to restrict unauthorized access. Encrypt sensitive data to protect it from unauthorized users. Regularly update and patch the database system to fix security vulnerabilities. Set up strong authentication mechanisms to ensure only authorized users can access the database.

Recentemente, nossa empresa implementou medidas robustas para proteger nosso banco de dados, em linha com as melhores práticas de seguran?a. Agora, para acessá-lo, é imprescindível utilizar senhas fortes e atualizadas regularmente. Além disso, foram estabelecidas fun??es e permiss?es detalhadas para controlar quem pode modificar nossos dados sensíveis. A criptografia e o hash est?o sendo aplicados tanto em dados em transito quanto em repouso, garantindo uma camada adicional de seguran?a. Com a instala??o de firewalls, antivírus e software antimalware, estamos mais protegidos contra invas?es e infec??es. Por fim, a implementa??o de logs e alertas de auditoria nos permite rastrear qualquer atividade suspeita.

se debe controlar el acceso a la base de datos por grupo de trabajo, limitando el acceso a información confidencial y obviamente la escritura de datos si no debería hacerse, se encomienda no usar usuarios sql, en su lugar usar acceso con directorio activo

In my experience, it is crucial to maintain internal documentation, which is not always obvious. Internal knowledge tends to get lost. A high-quality description of the ideas behind the implementation of the most important internal structures and methods helps to prevent this. I would even say that it is great to describe all the non-obvious solutions to avoid losing the context and reasons that might change over time and influence the best implementation approach.

Most important is the documentation once service went into production which enables the SRE for addressing and resolving the issues quickly . Also will help developer for fix the bugs and do the changes without wasting much time on analysis.

Based on my experience, the key aspect is to create a proper documentation of your current project hierarchy, including ETL scripts, procedures, and the types of data and functions you are utilizing. When the next sprint arrives for the same project, this documentation will prove invaluable to you.

Document the database schema, data dictionary, and any custom scripts or stored procedures thoroughly. This documentation should include information about table structures, relationships, constraints, and business logic implemented in the database.

I use a product called SQLDoc for documentation. I automated the process, and it runs against all instances every night. I have done this for up to 700 server installations (Dallas Cowboys) and it works well and is fast to finish. You can produce output in several formats including .doc, .pdf, etc.

Es fundamental definir los roles y establecer las tareas y las responsabilidades de cada uno: Quien es el due?o de los datos? Quien es el guardian de los datos? Quien se encarga de actualizar los datos? Una vez identificados los roles y las responsabilidades, se deben de desarrollar herramientas que faciliten cada una de las tareas, además de herramientas de control.