In the previous article in this series, I demonstrated how to build and run an aggregate statement in MongoDB Shell. An aggregate statement makes it possible to group and summarize a collection’s document data, as well as transform the data and control its output. For the examples in that article, I used the version of … Read more
In the previous article in this series, I discussed how to use a find statement to retrieve data from a MongoDB collection. However, the find method is not the only option for retrieving document data. Another important method is aggregate, which lets you group documents, perform calculations on those groups, and in other ways extract … Read more
MongoDB provides an efficient environment for storing document data at scale. However, most of your interactions with MongoDB will not be related to storing data but rather to querying data. The better you understand how to retrieve the data you need, the more effectively you can interact with MongoDB and support your data-driven applications. To … Read more
MongoDB is a document database. As such, the data is stored as individual documents. A document is a data structure made up of one or more field/value pairs. Nearly everything you do in MongoDB is either directly or indirectly related to the documents that you store in a database or move in and out of … Read more
MongoDB is a scalable database management system that stores data as documents in a collection, rather than as rows in a table, such as you’d find in a relational database system. A document is an object made up of one or more field and value pairs that contain related data. A field’s value can be … Read more
Organizations have many choices when it comes to databases. In this article, Robert Sheldon explains how to choose between SQL and NoSQL databases.… Read more
In the third and final article of the series, Shel Burkow demonstrates several designs that cover many-to-many relationships, attribute closure, and solution space with Cassandra tables.… Read more
Complex integrity constraints are more challenging to enforce in Cassandra than they are in a relational database. In this article, Shel Burkow walks through four modelling examples in Cassandra involving constraints.… Read more
As many companies consider moving data to NoSQL, Cassandra may be the choice. In this series, Shel Burkow discusses design considerations for porting a SQL Server schema to Cassandra. The first article explains the Cassandra primary key.… Read more
The JSON documents that are part of Cosmos DB document collections can be complex with arrays and nesting. In this article, Adam Aspin shows you how to query them with SQL.… Read more
Building on the introduction to the SQL used by Cosmos DB in the first article in the series, here you will learn how to handle some of the more classic challenges that you may face when querying JSON documents. Adam Aspin shows you some of the workarounds that are useful in practice when finding and shaping output data ready for further analysis.… Read more
This article by Adam Aspin reviews the Azure Cosmos DB SQL API from the perspective of the relational database developer. More specifically it will show you how to leverage your Structured Query Language skills to exploit the core possibilities of Cosmos DB as a NoSQL document database.… Read more
Organizations have many choices when it comes to database platforms. Choosing the right one for an application should be based on the application’s characteristics and the platform’s features. In this article, Pushpa Sekhara explains why the Apache Cassandra database might be a good choice and how to get the most from it.… Read more
