In a conversation last year, Justin Sheehy, CTO of Basho, described NoSQL as a movement, rather than a technology. This description immediately felt right; I've never been comfortable talking about ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...

Many embedded applications require a database of sorts, but the type can vary widely from ISAM (Indexed Sequential Access Method) to SQL (structure query language). While SQL is readily available on ...

Businesses are struggling to cope with and leverage an explosion of complex and connected data. This need is driving many companies to adopt scalable, high performance NoSQL databases - a new breed of ...

Poke around the infrastructure of any startup website or mobile app these days, and you’re bound to find something other than a relational database doing much of the heavy lifting. Take, for example, ...

The market is abuzz with terms like NoSQL, Big Data, NewSQL, Database Appliance, etc. Often, IT decision makers can get very confused with all the noise. They do not understand why they should ...

Learn how modeling the NoSQL databases is different from the data modeling in Relational database space Understand the steps in a typical NoSQL data modeling process Deliverables and artifacts in ...

NoSQL and Hadoop—two foundations of the emerging agile data architecture—have been on the scene for several years now, and, industry observers say, adoption continues to accelerate—especially within ...

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

NoSQL databases have emerged to address the limitations of traditional relational systems when managing massive, heterogeneous datasets generated by modern applications. They dispense with rigid ...