NoSQL databases are non-relational, open-source, distributed, schema-less, and cluster friendly databases. They are hugely popular today owing to their ability to scale out or scale horizontally and the adeptness at dealing with a rich variety of data: structured, semi-structured and unstructured data. They are malleable and flexible enough to accommodate sparse datasets, besides maintaining cost efficiency and availability.
The last few years have been witness to a burgeoning growth of data. Developers are working with applications that create massive volumes of new, rapidly changing data types – structured, semi-structured, unstructured and polymorphic data. Applications that once served a finite audience are now delivered as services that must be always-on, accessible from many different devices and scaled globally to millions of users. Organizations are now turning to scale-out architectures using open source software, commodity servers and cloud computing instead of large monolithic servers and storage infrastructure. Increasingly being used in big data and real-time web applications are NoSQL databases. NoSQL are the “Not only SQL” databases, implying that they support SQL-like query languages, or sit alongside SQL databases in polyglot persistent architectures.
Audience: This book is for all interested in learning about NoSQL databases. The only criteria is the willingness to learn and the ability to stretch yourself in learning to limits that you have not done before. The book is for all those who are new to NoSQL databases, irrespective of their field/background. The book will be equally useful to an engineering graduate as it would be to a management graduate. The book has been designed and crafted such that it caters to the knowledge requirements of an IT person as well as a business user.
Chapter 1 Getting Started with NoSQL Chapter 2 Types of NoSQL Databases Chapter 3 Column-Family Store Chapter 4 MongoDB Chapter 5 Neo4j: A Graph-Based Database Chapter 6 NoSQL Database Orientation Annexure A – Project 1 in MongoDB Database Annexure B – Project 2 in MongoDB Database Annexure C – Possible Interview Questions and Answers Index
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