Mongodb 60 Success Secrets 60 Most Asked Questions On Mongodb What You Need To Know
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Mongodb 60 Success Secrets - 60 Most Asked Questions on Mongodb - What You Need to Know
MongoDB' (from hu'mongo'us) is a cross-platform document-oriented database configuration. Classified like a NoSQL database, MongoDB eschews the customary table-based relational database construction in favour of JSON-like files with active schemas (MongoDB calls the setup BSON), creating the incorporation of information in definite kinds of applications simpler and speedier. Released under a amalgamation of the GNU Affero General Public License and the Apache License, MongoDB is gratis and open origin code. There has never been a MongoDB Guide like this. It contains 60 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about MongoDB. A quick look inside of some of the subjects covered: LAMP (software bundle), Rackspace Cloud - Cloud Servers, Cloud database - Data model, Django (web framework) - Server arrangements, MongoDB Inc. - MongoDB University, OpenShift - Supported databases, Spatial database - Spatial database systems, Comparison of structured storage software - Comparison, MongoDB Inc. - MongoDB Subscriptions, NoSQL - NoSQL databases on the cloud, Giant Bomb - Development, MongoDB - Criticisms, MongoDB - MongoDB tools, Web development - Database technology, MongoDB - History, MongoDB - Licensing and support, Fat-Free Framework, CherryPy - Object-relational mappers, Informix - Key Products, MongoDB Inc. - MongoDB Management Service, BSON, MongoDB - Production deployments, MongoDB Inc. - CIA backing and controversy, MongoDB - Language support, VMware - History, NoSQL - Taxonomy, Heroku - History, 10gen, Foswiki - Features, Database 2000s NoSQL and NewSQL databases, Spatial database - Features of spatial databases, TokuMX, and much more...
Nosql 133 Success Secrets - 133 Most Asked Questions on Nosql - What You Need to Know
A 'NoSQL' database delivers a method or means for information storage and information retrieval of information that is modeled in intents different compared to the tabular connections applied within relational databases. There has never been a NoSQL Guide like this. It contains 133 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about NoSQL. A quick look inside of some of the subjects covered: Michael Stonebraker - NoSQL, MongoDB, Strozzi NoSQL (RDBMS) - Philosophy, Lotus Notes - Concept, Scalability Database scalability, SpringSource, Oracle Corporation Various databases, Database - History, Cloud database - Deployment model, Hibernate (Java) - Software components, Solr, FoundationDB, MySQL Cluster - SQL and NoSQL APIs, Pylons project - Features, Continuous delivery - Principles, Martin Fowler - Publications, HDFS - Commercial support, Redis Labs - Products, Couchbase Server, Apache Solr, Document-oriented database, Non-relational database, Oracle Big Data Appliance, SPARQL - SPARQL implementations, Key-value data store, LAMP (software bundle) - MySQL, MariaDB, MongoDB, Martin Fowler - Publications, MultiValue, Web portal - In current use, R (programming language) - Commercial support for R, NoSQL - Taxonomy, Clusterpoint - Use cases, Xeround - Product, Redis Labs - Technology, Keyspace (distributed data store), LevelDB - Features, 10gen, Oracle Big Data Appliance - Software, Clusterpoint - 3rd party tools and applications, Django (web framework) - Server arrangements, Oracle Big Data Appliance - Additional Information, OrientDB, NoSQL - Classification based on data model, NewSQL, Database - 2000s, NoSQL and NewSQL, and much more...
MongoDB Recipes
Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss. MongoDB Recipes describes how to use advanced querying in MongoDB, such as indexing and the aggregation framework. It demonstrates how to use the Compass function, a GUI client interacting with MongoDB, and how to apply data modeling to your MongoDB application. You’ll see recipes on the latest features of MongoDB 4 allowing you to manage data in an efficient manner using MongoDB. What You Will Learn Work with the MongoDB document model Design MongoDB schemas Use the MongoDB query language Harness the aggregation framework Create replica sets and sharding in MongoDB Who This Book Is ForDevelopers and professionals who work with MongoDB.