Blog

Why it is said that NoSQL databases should be used for big data analytics justify your answer by elaborately discussing each point?

Why it is said that NoSQL databases should be used for big data analytics justify your answer by elaborately discussing each point?

NoSQL allows for high-performance, agile processing of information at massive scale. It stores unstructured data across multiple processing nodes, as well as across multiple servers. As such, the NoSQL distributed database infrastructure has been the solution of choice for some of the largest data warehouses.

What are the disadvantages of using a NoSQL database like MongoDB?

There are a few disadvantages of the MongoDB NoSQL database as well.

  • MongoDB uses high memory for data storage.
  • There is a limit for document size, i.e. 16mb.
  • There is no transaction support in MongoDB.
READ ALSO:   Is antivirus and firewall the same thing?

What is NoSQL What are the advantages limitations and disadvantages of NoSQL?

Advantages and disadvantages Elastic scalability: These databases are designed for use with low-cost commodity hardware. Big Data Applications: Massive volumes of data are easily handled by NoSQL databases. Dynamic schemas: NoSQL databases need no schemas to start working with data.

What are the benefits of ORM?

Advantages of ORM

  • They write correct and optimized SQL queries, thereby eliminating the hassle for developers.
  • They make the code easier to update, maintain, and reuse as the developer can think of, and manipulate data as objects.

What kind of database should I use for my microservice?

For some services, a relational database is the best choice. Other services might need a NoSQL database such as MongoDB, which is good at storing complex, unstructured data, or Neo4J, which is designed to efficiently store and query graph data. Keep each microservice’s persistent data private to that service and accessible only via its API.

READ ALSO:   Can someone cosign for a car without being there?

Should you use a schema per service or per database?

Using a schema per service is appealing since it makes ownership clearer. Some high throughput services might need their own database server. It is a good idea to create barriers that enforce this modularity. You could, for example, assign a different database user id to each service and use a database access control mechanism such as grants.

Should I use the same database system for all services?

Assumed you have some services which can use the same kind of DB system and version, if you use different database or db instances is a decision you should not need to make at design time. Instead, you should be able to make the decision at deployment time, something you can simply configure.

Can you have multiple databases on a single RDS instance?

If you have multiple databases on a single instance then they share the CPU/Memory etc. If your microservice performance is bound by its database performance: then deploying multiple copies of the microservice, each using a different database, but with each database on the same RDS instance.