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Database

  • About MongoDB: Backup or Replication?

    About MongoDB: Backup or Replication?


    Sometimes MongoDB users question whether they need a backup if they are already using replication, or vice versa. Doesn’t replication already protect their data sufficiently? How do backup and replication compare?. In short, backup involves making a copy or copies of data, while replication is the act of copying and then moving data between a company’s site. Let's deepen about this.

  • Implementing a Documental database with MongoDB



    I often have the need to develop a system that implements dynamic search filters with a fast response time, allowing the user to view and select the filters. Such requirements are increasingly seen as an important feature in many platforms, mainly in e-commerce websites, and it is what makes it easier for the user to navigate the site.

  • NoSQL Database Adoption Trends - A NoSQL Comparison



    While SQL databases are incredibly useful tools, their monopoly is coming to an end. NoSQL databases have been getting lot of attention over the last few years for their performance, scalability, schema flexibility and analytics capabilities. While relational databases are still a good choice for certain cases - like structured data and applications that require ACID transactions - NoSQL databases are better suited for use cases where:

  • NoSQL database: about quality attributes. Understanding first before choosing

    NoSQL database: about quality attributes. Understanding first before choosing

    Last week we talked about the big differences between NoSQL databases and the consequent responsibility on software architects to pick out the appropriate one for each project. You can read the post here: “The ultimate NoSQL comparison (Beyond MongoDB and CrunchDB)”.

  • NoSQL databases: a Must for The Internet of Things

    NoSQL databases: a Must for The Internet of Things

    Internet of Things technology is a hot topic. For the past 30 years enterprise data has been quite predictable, but everything has changed. Nowadays Big Data is snowballing and the impact on traditional relational database management systems is being significant. In this new context databases need to adopt and meet these new requirements as greater data processing agility and multiple analytical tools.

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