NoSQL数据库的崛起标志这个关系型数据库统治时代的终结。
But NoSQL databases will not become the new dominators. Relational will still be popular, and used in the majority of situations. They, however, will no longer be the automatic choice.
但是NoSQL数据库不会变成新时代的统治者。关系型数据库也依然会流行下去,并且占据大部分场景。然而,他们不会再是自动化的选择了。
多语言持久化的时代已经开始
大数据是NoSQL型数据库崛起的始作俑者, 但是这不仅仅是使用NoSQL的唯一原因。
Many NoSQL databases are designed to run well on large clusters, which makes them more attractive for large data volumes.
许多的NoSQL数据库被设计用于运行大型的簇,那会使得他们看起来在大数据容量下更有吸引力。
But often people select NoSQL due to easier database interaction in their applications.
然而人们选择NoSQL常常是因为他能够更加简单的与你的应用之间进行数据交互。
为了能够在这种改变中获利,你需要对于NoSQL中潜在的概念相当的熟悉。
In the future, organizations will use many data technologies. Data professionals will need to be familiar with these different approaches and know how to match them to different problems. This introduces new ways to think about data modeling, data consistency, and evolution.
在未来, 组织机构将会使用很多的数据技术。数据专家将会需要熟悉这些不同的方式,并且知道怎么去用他们匹配不同的问题。这里介绍了许多新的方式关于数据模型,数据关联,已经演变。
Learning the concepts is an important first step, but to really understand you’ll need to get the experience of building representative systems using these technologies.
学习这些概念是重要的第一步,但是他确实能够让理解你将会需要的使用这些技术来获取到的构建典型系统的经验。