Your team is struggling to design scalable and efficient databases. What are your options?

SQL and NoSQL databases have different strengths and weaknesses, and choosing the right type of DB depends on the application’s specific needs. SQL databases are well-suited for applications that require data consistency, while NoSQL DBs are better suited for handling unstructured information and real-time data processing. NoSQL databases also offer greater scalability and cost-effectiveness.

It's vital to choose the appropriate DB engine for your needs. Some of the points you can consider: 1. Size of the data 2. Acceptable response time 3. Type of the system (OLTP, OLAP)

Certainly we will face some problems like aggregate data, performance, available data for consumers, consisting of data, if my data are transactions and we have transactional business the Relational data bases are good point, if we face to big data must using some recommendations about scalability, consistency, and availability. It depends on business we have especial data and solutions to implement best practices

Pivotar n?o deixa de ser interessante, porém é angustiante quando se viveu uma vida normalizada e viu-se que a desmoraliza??o é caminho, é bom estar preparado e entender ambos.

Certainly, a good choice for a database result in many aspects for our project. In the case of, scalability, perfomance, efficiency, recovery when it's necessary. Nowdays we can seen, projects where there is more one database type. Relational database x No relational, projects like a Netflix when depeding on case, or user interaction a specific database can be select to be sure the better perfomance.

Design your data management approach to be inherently scalable. For example, instead of having all customer transactions in one monolith, look for natural 'shards'. For example, group customers by geography or alphabet. That way you can easily spread the workload across multiple servers and create a hugely scalable system. Other options are to have separate data services, such as data services for available inventory, an other one for current shopping carts, a third one for customer orders, a forth one for receivables and payments, etc. Designing for scalability helps avoid the 'OMG - we are on the biggest server and we are running out of resources' moment.

The design of a database can always be improved. When there are no changes to the database due to new requirements or new business needs, it is a good opportunity to carry out refactoring procedures that improve the design. Refactoring means simply that: introducing changes that improve a design without affecting the semantics of the database. There are many refactoring techniques to improve the design of a database. Having a list of best practices at hand whenever you need to design a database will allow you to obtain the best results so that the applications always maintain optimal performance in data access.

In my experience, Surely I can say, the impact of a good optimization on your database is visible at first. - Reduce time of search a data - Reduce space on disk - Perfomance for team, for example, when your table is optimized, with primary key, using friendly names for columns and table, using index, it gets easier to keep the structure updated. - More data reliable. 5 Tips for optimize your relational database are: 1 - Use key on the column 2 - Use Index 3 - Friendly name of columns and tables. 4 - Relationship between columns. 5 - Pay Attention to data type for your columns, datetime, varchar, char, decimal, integer etc.

Lembram que os DBAs só s?o necessários quando a bomba estoura... A grande maioria dos projetos que participei n?o iniciaram com uma boa estrutura??o de banco de dados, por conta disso este tópico é essencial... Otimiza??o de design.

It would be best if you designed your data model depending on the DB (or DB engine). E.g. 1. if it's an OLAP kind of system, you do not want strict normal form (or you want fewer join operations). 2. if you are using Dynamo DB or Cassandra then choose the correct partition and sort key.

If we sacrifice the ACID properties and choose the CAP theorem, we can scale our system. We can even use sharding and partitioning for the same. In the Oracle world, we have RAC (Real Application Clusters) to have more than 1 active (writer) node. But for other DB engines, more than 1 read replica can be used to have more reader nodes (for reporting purposes/read-only workloads).

- If it’s not attaining its full potential there is a bottleneck. - one should find ways to elaborate the congestions and firmly include solution to it to get max potential - not limited to DBs one should also look for infra, network bandwidths, and sometimes issue are alao in the hardware, trust me try changing some switches ????

Para enfrentar os desafios de projetar bancos de dados escalonáveis e eficientes, você tem algumas op??es. Uma delas é implementar estratégias de dimensionamento de banco de dados. O dimensionamento pode ser vertical, adicionando recursos ao servidor existente, ou horizontal, incorporando mais servidores ao cluster. A escolha depende de seu or?amento, requisitos e arquitetura, podendo envolver ferramentas como balanceamento de carga, replica??o, fragmenta??o ou cache. Essas medidas podem aprimorar o desempenho e a disponibilidade, mas é importante considerar os custos e complexidades envolvidos.

Para deixar o banco de dados mais top, vale a pena trocar uma ideia com a galera da equipe e os interessados. Isso envolve bater um papo, combinar tarefas, definir o que o banco precisa e compartilhar o que você fez. Também é importante testar e ouvir sugest?es. Use ferramentas bacanas, como controle de vers?o, pra tornar tudo mais fácil e manter a qualidade. Vai ser show! ????

Para tornar seus bancos de dados mais eficientes e escalonáveis, é importante se manter atualizado. Isso envolve ler blogs, assistir a webinars, fazer cursos e participar de comunidades online. Trocar ideias com colegas, buscar orienta??o e experimentar novas ferramentas também é fundamental. Dessa forma, você melhora suas habilidades em banco de dados e expande seu conhecimento.

For me, Two good way to improve your skills is: Learn and teach about what do you learned. Because independent how you consume information, is most common after some time, you forgot about what you learn. Teach about some topic, can be the best way, to fix your knowlegment. Currently we have so many informations around us and we need to prefer for quality instead quantity. Undoubtedly the Linkedin is another choice to learn and contribute, teach about anything.

Dependendo da quantidade de dados uma tabela única de registros pode ser substituída e balanceada por 12 tabelas distintas (mensais independentemente de ano), o volume de 1 ano é particionado e para se ter um objeto similar ao original, necessitaria 12 anos. Sua aloca??o pode ser balanceada em diversos filegroups e datasets para evitar concorrência de disco.