Who says that big data doesn’t need a data model? You won’t after this presentation. Relational systems have always been built on the premise of modeling relationships. As you will see, static schema, one-to-one, many-to-many still have a place in Cassandra. From the familiar, we’ll go into the specific differences …
This short video outlines some tips for working with MongoDB. You will learn about some general pointers for successfully working with Mongo in a production environment and watch a few suggestions that will make working with documents a bit easier.
In the first part, we looked at the basic mechanics of MySQL and Couchbase Server 2.0, and compared the ways in which you would model the data, and how the basic queries and lists of records operate, from the MySQL SQL statement, to the Couchbase Server View.
Moving from a relational database, like MySQL, to a NoSQL database, like Couchbase, requires that you change the perspective on your data. In this article, MC Brown explains the differences between structuring data for a MySQL and a Couchbase database. He also discusses how these differences impact your queries.
Every application that needs to support simultaneous clients (concurrency) should be built using transactions with ACID properties. As the NoSQL databases technology matures, transactions will play an increasingly prominent role. In this article, David Rosenthal and Stephen Pimentel explains that transactions are the simplest and strongest programming model available to …
Graph Databases can solve problems that your normal database struggle with. These can be hard problems, and not all of them were mentioned as graph problems in your CS classes. Using a Graph Database correctly can save the day, and make you look like a super star among your peers.
