The Easy, Common-Sense Guide to Solving Real Problems with NoSQL The" Mere Mortals" "(r)" tutorials have earned worldwide praise as the clearest, simplest way to master essential database technologies. Now, there s one for today s exciting new NoSQL databases. "NoSQL for Mere Mortals" guides you through solving real problems with NoSQL and achieving unprecedented scalability, cost efficiency, flexibility, and availability. Drawing on 20+ years of cutting-edge database experience, Dan Sullivan explains the advantages, use cases, and terminology associated with all four main categories of NoSQL databases: key-value, document, column family, and graph databases. For each, he introduces pragmatic best practices for building high-value applicati...
Data is stored and retrieved from Database in tabular format which is called Relational Database and...
With such a big volume of data growing tremendously every day, the storage of information, support a...
The popularization of big data makes the enterprise need to store more and more data. The data in th...
With the emergence of Big Data, the use of NoSQL (Not only SQL) technology is rising rapidly among i...
This tutorial discusses the four most popular categories of NoSQL databases: key-value databases, do...
NoSQL databases are open-source, schema-less, horizontally scalable and high-performance databases. ...
NoSQL databases (initially non-SQL, then Not Only SQL) are specifically designed to handle large amo...
NoSQL databases (commonly interpreted by developers as „not only SQL databases ‟ and not „no SQL‟) i...
Many organizations are dealing with the increasing demands of big data, so they are turning to NoSQL...
Conventional SQL databases use SQL (structured query language) as their primary interface to manage ...
NoSQL is a free and open-source, scattered, extensive column store database management system intend...
The recent years, marked by an unprecedented increase in the volume of data stored and managed, have...
MongoDB, a cross-platform NoSQL database, is the fastest-growing new database in the world. MongoDB ...
NoSQL databases have moved from theoretical solutions to exceed relational databases limits to a pra...
The rising interest in NoSQL technology over the last few years resulted in an increasing number of ...
Data is stored and retrieved from Database in tabular format which is called Relational Database and...
With such a big volume of data growing tremendously every day, the storage of information, support a...
The popularization of big data makes the enterprise need to store more and more data. The data in th...
With the emergence of Big Data, the use of NoSQL (Not only SQL) technology is rising rapidly among i...
This tutorial discusses the four most popular categories of NoSQL databases: key-value databases, do...
NoSQL databases are open-source, schema-less, horizontally scalable and high-performance databases. ...
NoSQL databases (initially non-SQL, then Not Only SQL) are specifically designed to handle large amo...
NoSQL databases (commonly interpreted by developers as „not only SQL databases ‟ and not „no SQL‟) i...
Many organizations are dealing with the increasing demands of big data, so they are turning to NoSQL...
Conventional SQL databases use SQL (structured query language) as their primary interface to manage ...
NoSQL is a free and open-source, scattered, extensive column store database management system intend...
The recent years, marked by an unprecedented increase in the volume of data stored and managed, have...
MongoDB, a cross-platform NoSQL database, is the fastest-growing new database in the world. MongoDB ...
NoSQL databases have moved from theoretical solutions to exceed relational databases limits to a pra...
The rising interest in NoSQL technology over the last few years resulted in an increasing number of ...
Data is stored and retrieved from Database in tabular format which is called Relational Database and...
With such a big volume of data growing tremendously every day, the storage of information, support a...
The popularization of big data makes the enterprise need to store more and more data. The data in th...