Migrating from an RDBMS to NoSQL can improve scalability and flexibility. Explore top NoSQL databases and best practices for ...

With NoSQL, data can be stored in a schema-less or free-form fashion. Any data can be stored in any record. Among the NoSQL databases, you will find four common models for storing data ...

On the other hand, NoSQL document databases are schema-agnostic. They can handle data variety in the form of JSON or XML documents, and schemas can evolve as data changes over time. NoSQL vendors ...

A global user profile store is another example of where the key value characteristics of NoSQL come into play. A NoSQL database can store the user IDs, user preferences, multiple ID mappings and ...

For example, the topmost level ... In that respect, it’s unlike many other NoSQL databases, key-value or otherwise, since they store data in some persistent form. Memcached does not back its ...

This post is one of a series that introduces the fundamentals of NOSQL ... a navigational database, data is accessed by defining the path to find the desired data. Here’s an example.

Without a single, standardized end-to-end view of the customer profile as it evolves, for example ... s hard to seamlessly integrate NoSQL data in its native form into the larger world of data.

The evolving landscape of NoSQL ... conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

NoSQL databases are often associated with ... Microsoft, Oracle, and Teradata, for example, are now all selling some form of Hadoop integration to connect SQL-based analysis to the world of ...

Relational databases have existed for more than 40 years now. They’ve changed little over that period and while they work well, they couldn’t answer the scalability demands of cloud native ...