Mapa mental
Mind Map by Daniel Bermúdez, updated more than 1 year ago
Created by Daniel Bermúdez about 8 years ago

Resource summary

  1. Core business functions and enterprise transaction processing:
    1. The relational databases are used frequently in this type of core business functions, so that the company will interface with all its applications, in addition to these states that the Cloud is a great choice as it offers options for this highly scalable environment.
    2. Analytics and business intelligence:
      1. In this type of field there is no database defined, but depends on the type of work that will be undertaken, so it is recurrent see that several companies use OLAP cubes.
      2. IT operational data (logs, systems monitoring):
        1. In this type of data operations professionals need a database that is fast and efficient.
        2. Special projects:
          1. In this type of project it is necessary to use simple and intuitive database data that can be handled by non-technical managers and professionals such as Microsoft Access.
          2. Security and compliance:
            1. In this area you need a database that is completely safe, the database manager that is responsible for this system are relational.
            2. Real-time or sub-second processing and response requirements:
              1. In this area it databases with low latency, where the data is sent to a random access memory of computers, in this case memory databases used are needed.
              2. Unstructured data analytics:
                1. In this case the relational databases are not as necessary as Hadoop file systems that make these files more manageable and accessible are used.
                2. Developer resources (configuration information)
                  1. In this case you need a fast database to call and deployment data, in this case, databases are used in the cloud or databases quick and simple data.
                  2. Web applications:
                    1. In this case it is better not to use a SQL database (key-value) data, as they are simple and quick.
                    2. Ecommerce applications:
                      1. In this case you can have no previous SQL data base (key-value) Back-end databases, are a combination.
                      2. Testing and pilot projects:
                        1. In this area you need to use databases with large capacity cloud.
                        2. Peripheral/branch office support:
                          1. In this case relational databases are used as access through the network to a central database is required.
                          2. Embedded devices and applications:
                            1. In this case databases that can be run remotely, requiring little maintenance, high security is needed. You can use relational databases.
                            2. Mobile applications:
                              1. At this level, a relational database in which to store local data allow to be stored and managed locally used.
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