We'll use Structured Query Language, S-Q-L, also called sequel, a popular database API.

我们将使用结构化语言，S-Q-L，也叫作sequel，一个流行的数据库API。

And as a data analyst, I had to learn SQL for the first time.

作为一名数据分析师，我第一次不得不学习结构化语言（SQL）。

It's the same, you know, query language.

这是一样的，你，语言。

Developers don't have to learn Cypher or some other graph query language to query Graffiti.

开发者不必学习Cypher或其他图形语言来涂鸦库。

Like, what is this as a query language?

这作为语言是什么东西？

What does that end up looking like for someone who hasn't, for example, written something in PromQL?

对于那些尚未使用过普罗米修斯语言（PromQL）的人来说，呈现出怎样的局面呢？

And like, what does the query language look like to explore them?

那么，探索这些数据的语言是什么样的呢？

The query language is also pretty much a standard in the industry.

语言也几乎是行业内的标准。

It's called the Prometheus Query Language, PromQL.

它被称为普罗米修斯语言，PromQL。

There's about four chapters that are involved with learning PromQL and kind of walk you through all the various aspects of it.

书中约有四个章节涉及学习普罗米修斯语言（PromQL），并逐步引导你了解其各个方面的内容。

That'll give you a query language to be able to ask for all of the columns that you want, as well as nested items joined automatically inside it.

这将为你提供一种语言， 使你能够请求所需的所有列，以及自动嵌套在其内部的连接项。

The PromQL gives you the ability to, and some of the tooling embedded in it right now into the newest Prometheus is really nice where they explain the query.

普罗米修斯语言（PromQL）赋予了您能力，而当前嵌入新普罗米修斯中的部分工具确实非常出色， 它们能够详细解释。

So my main job in transitioning to data analytics was learning how to access the database, write SQL, and then I would get enough data where I would actually export it to a spreadsheet.

因此，我转型到数据分析领域的主要任务是学习如何访问数据库、编写结构化语言（SQL），然后我获取足够的数据，并将其导出到电子表格中。