评估NoSQL数据存储。
NoSQL：一种新的思维方式？
Don't be risking your data on NoSQL databases.
而不要冒险将数据存储于NoSQL数据库。
How to store opening hours semantically in NoSQL?
如何店开业时间的语义关系？
An exploration of the current state of NoSQL technologies.
阐述NoSQL技术目前的状况。
NoSQL databases won't replace the RDBMS, however; they'll supplement it.
NoSQL数据库不会替代rdbms，但是，它们将补充它。
In this first post, let's discuss the reason why NoSQL technology is important.
在第一篇文章，我们主要讨论NoSQL技术的重要性。
Intelligent NoSQL Database driver is topology and latency aware, providing optimal data access.
提供基于数据节点拓扑结构和访问延迟的智能控制，以提供最佳的数据访问性能。
We've got the usual RDBMS adapters you'd expect, NoSQL systems and even some web services like Salesforce.
我们已经开发了你所期望的RDBMS适配器，不仅如此，我们还能支持NoSQL系统以及一些类似于Salesforce的web服务。
Many NoSQL stores also provide MapReduce capabilities, allowing for efficient access to predefined queries.
许多NoSQL存储还提供MapReduce功能，以便允许有效的访问预定义的查询。
NoSQL databases do not provide a high-level declarative query language like SQL to avoid overtime in processing.
NoSQL的数据库没有像SQL提供一个高层次的声明性查询语言。
But NoSQL looks less like a fad, and more like an emerging foundation for highly scalable Web application development.
但NoSQL看起来不太像一种时尚，更像是高度可伸缩的Web应用程序开发的一个新兴基础。
Can you list some of the deployment technologies you are looking to supported (i.e. which nosql, RDBS, web servers, etc.)?
能给我们列举一些您准备支持的开发技术吗？比如，nosql、关系型数据库系统，Web服务等？
I was hoping that this book would be a good introduction to NoSQL in general as well as how to use MongoDB specifically.
我期望此书不但是一个优秀的对无SQL的总体概述，而且也详细介绍如何应用MongoDB。
So you'll probably end up frustrated if you try to use relational modeling as a foundation for data modeling in a NoSQL database.
因此，如果您尝试将关系建模作为一个NoSQL数据库中的数据建模的基础，那么您可能最后以失败告终。
We are definitely part of the NoSQL movement in that we are trying to solve problems that RDBMS are not addressing right now.
当然支持NoSQL运动了，因为我们正在解决RDBMS目前所没有解决的问题。
Also, minimize mutable state in your applications and consider NoSQL data stores to improve the scalability of your applications.
此外，应最大限度地减少应用程序中的可变状态，并考虑使用NoSQL数据存储，以提高应用程序的可伸缩性。
Googles new datastore defines a data model that lies between the abstract tuples of an RDBMS and the concrete row-column storage of NoSQL.
Google新的数据存储定义了一种介于RDBMS抽象元组和NoSQL具体的行列存储之间的一种数据模型。
MongoDB is an example of a NoSQL database. Unlike a relational database such as SQL Server, the basic unit of data in MongoDB is the document.
MongoDB是一种NoSQL数据库，不同于SQLServer这样的关系型数据库，MongoDB中数据的基本单位是文档。
While NoSQL datastores are particularly suited to storing big data (think Google's Bigtable), NoSQL is a patently non-relational approach.
因为NoSQL数据商店尤其适合存储大型数据(如Google的Bigtable)，显然NoSQL是一种非关系数据库方法。
One of the more notable NoSQL projects out there is MongoDB, an open source document-oriented database that stores data in collections of JSON-like documents.
比较著名的NoSQL项目之一就是MongoDB，一个开放源码、面向文档的数据库，它在类似于JSON的文档集合存储数据。
In essence, NoSQL could be the killer app for a killer problem - one that Web application developers are likely to encounter more, not less, as Web 2.0 evolves.
本质上，NoSQL可能是一个杀手问题的杀手应用程序—随着Web 2.0的演变，Web应用程序开发人员可能会遇到更多，而不是更少这样的应用程序。
Another approach to managing write contention in the database is to evaluate the possibility of using NoSQL data stores for some or all of your application data.
另一种管理数据库中写入争用的方法是为一些或所有应用程序数据评估使用NoSQL数据存储的可能性。
Greg compared use cases for NoSQL and cache solutions like Ehcache which in many respects try to solve the same problems of scale, but take different approaches.
Greg对NoSQL和Ehcache等缓存解决方案进行了对比，Ehcache这些缓存解决方案在很多方面都试图解决同样的伸缩性问题，只是采用了不同的方式。
InfoQ: What are the main differences in the areas of data modeling and application development when working on a NoSQL database compared to a Relational database?
InfoQ：NoSQL数据库与关系型数据库相比，在数据建模和应用开发上其最主要的差别是什么？
Spring Data is a SpringSource project that aims to provide idiomatic Spring support for the varieties of emerging, specialized datastores, including NoSQL database.
SpringData是SpringSource的项目，其目标是为新兴的数据库、特定的数据存储提供Spring的方言支持，包括NoSQL数据库。
In this article, you learned about the MongoDB database management system and why it is one of the fastest-growing options in the popular NoSQL section of the DBMS market.
在本文中，您学习了MongoDB数据库管理系统，以及它成为DBMS市场受欢迎的NoSQL中成长最快的可选产品的原因。
The Oracle NoSQL Database is a key-value datastore designed for high scalability and availability, and deployed on multiple replicated nodes for rapid failover and load balancing.
OracleNoSQLDatabase是一种键-值数据存储，设计时考虑到了高扩展性和高可用性，并可部署于多个互相复制的节点上，以便进行快速故障切换及负载均衡。
To solve this problem, researchers at Google developed an alternative data-storage solution called BigTable, one of the data-storage solutions in the world of NoSQL databases.
要解决此问题，Google的研究人员开发了一个名为BigTable的替代数据存储解决方案，它是NoSQL数据库世界中的数据存储解决方案之一。
If you're coming from a relational database background and wish to learn more about MongoDB or are interested in it as an example of a NoSQL implementation, this is a great book.
如果你学习过关系模式数据库又希望学习更多关于MongoDB或者对一个无sql执行实例感兴趣，对你来说这是一本好书。
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