And I kind of imbued more of this business context into that SQL query.

我其实把更多的业务背景融入到了那个SQL查询中。

There'll be less of the details of how we write a particular SQL query.

未来，我们对如何编写特定SQL查询细节的关注。

I have still used the exact same stack, PHP, jQuery, and different flavors of SQL.

我仍然使用完全相同的技术栈：PHP、jQuery以及各种SQL变体。

I mean, that is SQL is a programming language.

我的意思是，SQL 是一种编程语言。

Amazon Redshift introduces new SQL features for zero ETL integrations.

亚马逊Redshift引入了新的SQL特性，以实现零ETL集成。

Amazon RDS for SQL Server now supports linked servers to Teradata databases.

Amazon RDS for SQL Server 现在支持与 Teradata 数的链接服务器。

And we'll do the same with Python and SQL and other languages as well.

我们也对Python、SQL和其他语言行同样的操作。

We'll offer a simple SQL database for the user data.

我们为用户数提供一个简单的 SQL 数。

Note also that SQL commands end with a semicolon.

注意SQL命令以分号结尾。

That's a similar concepts to SQL joins.

这与SQL中的联接概念相似。

And so it still requires quite a bit of SQL knowledge to really make it excellent.

因此，要真正使其出色，仍需具备相当丰富的SQL知识。

I'm going to go set up the database, do the migrations, write the SQL, build the site.

我要去设置数，行迁移，编写SQL语句，然后搭建网站。

To do this, the server will execute code, known as a SQL query, that looks something like this.

为此，服务器行一段代码，这段代码被称为SQL查询，大致如下。

By sending in a malicious username, with embedded SQL commands!

通过发送一个包含嵌入式SQL命令的恶意用户名！

Make the business operation more efficient, it can generate other interesting applications or languages like SQL for data analysts.

让业务运营更高效，它可以生成其他有趣的应用程序或语言， 比如数分析师使用的SQL。

Uh, by the way, pronounce SQL versus SQL.

顺便说一下，SQL的发音是squeal。

So, Ben, if you've ever heard of these now sort of strange-sounding Microsoft products, SQL Server.

所以，本，如果你曾听说过这些如今听起来有点奇怪的微软产品，比如SQL Server。

Intelligent cloud includes SQL Server and Windows Server.

智能云涵盖了SQL Server和Windows Server。

We start with Excel, and then we go to SQL, and then we learn all these different BI tools.

我们从Excel开始，然后学习SQL，接着掌握各种不同的商业智能工具。

So you only, you've only done two SQL queries within one SQL transaction.

因此，你仅在一条SQL事务中行了两个SQL查询。