Columnar: Extension to traditional table structures.NoSQL databases come in four core types - one for each type of data the database is expected to manage: They are designed to handle a great variety of data, including data whose structure changes over time and whose interrelationships arenвЂ™t yet known. NoSQL databases arenвЂ™t restricted to a rows-and-columns approach. Examples of such systems include customer relationship management (CRM) systems that hold details on prospects, customers, products, and sales and banking systems that include a list of transactions on your bank accounts. Today, the RDBMS underpins most organizationsвЂ™ applications. The relational database management system (RDBMS) was introduced in the 1970s to handle this exact type of data. This linking, therefore, represents a relationship between two sheets, or tables. This Expense Type drop-down list is defined in another sheet called Reference. Perhaps you have a set of drop-down lists, such as Expense Type, on your personal finance sheet. Sometimes some of these properties relate objects to other objects. You probably do something similar, for example, when you use Microsoft Excel or a similar program to store important information about a set of objects. When describing a set of objects, I use a table with a row for each object and a column for each property. When describing something, I list its properties and the values for those properties. Leveraging these technologies can make deployment of NoSQL more productive and useful. NoSQL databases are commonly paired with particular complementary computer software, from search engines to semantic web technologies and Hadoop. Modern computer systems donвЂ™t exist in a vacuum theyвЂ™re always communicating with someone or something. Understanding where consistency should and shouldnвЂ™t be applied is important when deciding to deploy a NoSQL solution. This speed comes with tradeoffs in other areas, including ensuring data consistency - that is, data that has just been added or updated may not be immediately available for all users. Their design is tuned to ensure fast response times to particular queries and how data is added to them. NoSQL solutions are quicker to build, update, and deploy than their relational forerunners. The popularity of NoSQL databases lies largely in the speed they provide for developers. Understanding the data you want to manage will help you apply the right NoSQL solution. Each type of NoSQL database is designed to manage different types of data. NoSQL databases arenвЂ™t a mere layer on top of existing technologies used to address a slightly different use case.

With all the new terms and techniques and the wide variety of options, itвЂ™s not easy to come up with a succinct description of NoSQL. NoSQL thinking and technology mark a shift away from traditional data management technologies. New data management challenges have triggered a new database technology - NoSQL. Identifying and handling different types of dataД®ncompassing the range of consistency options available

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