Facilitating the Spread of Knowledge and Innovation in Professional Software Development

Write for InfoQ


Choose your language

InfoQ Homepage MongoDB Content on InfoQ

  • Beyond the Database, and beyond the Stream Processor: What's the Next Step for Data Management?

    Databases have been around forever with the same shape: you make a request to your data and then you receive an answer. Now, stream processors came along with a different approach: data isn’t locked up, it is in motion. Understand how stream processors and databases relate and why there is an emerging new category of databases that focus on data that stays in place as well as data that moves.

  • 14 Things I Wish I’d Known When Starting with MongoDB

    I’ve been a database person for an embarrassing length of time, but I only started working with MongoDB recently. When I was starting out with MongoDB, there are a few things that I wish I’d known about. With general experience, there will always be preconceptions of what databases are and what they do. In hopes of making it easier for other people, here is a list of common mistakes.

  • From Raw Data to Data Science: Adding Structure to Unstructured Data to Support Product Development

    With unstructured database technologies like Cassandra, MongoDB and even JSON storage in Postgres, unstructured data has become remarkably easy to store and to process. Software and data engineers alike can succeed in a world (mostly) free from data modelling, which is no longer a prerequisite to collecting data or extracting value from it.

  • DevOps is Not a Feature!

    DevOps is the industrialization of IT, says Nati Shalom. Organizations that wish to optimize for speed and cost cannot afford silos anymore."Doing DevOps" is not adding new features to existing tools. In this article, Shalom takes us through the differences between management solutions in a pre and post DevOps world.

  • A Rails Enthusiast’s take on MEAN.js

    John looks at AngularJS and the MEAN stack as an alternative to Ruby on Rails as a productive stack for building typical web applications.

  • Preparing for Your First MongoDB Deployment: Backup and Security

    This article we focuses on the database backup tools and security policies when deploying MongoDB NoSQL databases. Topics like cloud backups with MongoDB Management Service (MMS), authentication, and authorization are covered.

  • Preparing for Your First MongoDB Deployment: Capacity Planning and Monitoring

    In this article, author Mat Keep discusses the deployment best practices of MongoDB databases with focus on capacity planning and monitoring aspects. He also explains the topics like hardware selection, key metrics for monitoring and when it’s time to add shards.

  • Jepsen: Testing the Partition Tolerance of PostgreSQL, Redis, MongoDB and Riak

    Distributed systems are characterized by exchanging state over high-latency or unreliable links. The system must be robust to both node and network failure if it is to operate reliably--however, not all systems satisfy the safety invariants we'd like. In this article, we'll explore some of the design considerations of distributed databases, and how they respond to network partitions.

  • Implementing Aggregation Functions in MongoDB

    In this article, authors Arun Viswanathan and Shruthi Kumar discuss how to implement common aggregation functions on a MongoDB document database using its MapReduce functionality. They also discuss a typical application of aggregations which includes business reporting of sales data.

  • An Interview with Rebecca Parsons - ThoughtWorks CTO

    Dr Rebecca Parsons is the Chief Technology Officer for ThoughtWorks, and a Director of the Agile Alliance. At the Agile Australia conference in Melbourne she discussed the trends in database technology around NoSQL databases, the linking of continuous design with continuous delivery and the impact of the mainstream adoption of agile practices on the Agile Alliance.

  • Data Modeling: Sample E-Commerce System with MongoDB

    The rich document capabilities and atomic operation guarantees in MongoDB makes it possible to model many different applications. Even rigorous requirements of conventional applications like e-commerce system are possible in a document database. This data model (i.e. "schema design,") is useful for developing applications around any restricted resource system, not just e-commerce systems.

  • Introduction to MongoDB for Java, PHP and Python Developers

    The NoSQL movement is here to stay. The need for reliable storage that can be easily queried and easily scalable without the pain of SQL schema migration is real. Developers want more agile systems. This article uses MongoDB to introduce NoSQL concepts. This article covers the basics of MongoDB architecture, caveats and programming in MongoDB for Java, PHP, and Python developers.