在 英语 中使用 Structured query language 的示例及其翻译为 中文
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Structured Query Language.
MySQL supports standard SQL(Structured Query Language).
Structured Query Language(SQL) is often used to manage such kind of Data.
IndexedDB does not use Structured Query Language(SQL).
The Structured Query Language(SQL) processing is performed on your local machine by Access.
HBase does not support a structured query language like SQL.
SQL means structured query language and allows faster recovery of a large number of database records.
Common knowledge of relational databases and structured query language.
In Structured Query Language(SQL), queries are almost always made using the SELECT statement.
They run different flavors but are jointly based on,SQL, or Structured Query Language.
Structured Query Language(SQL) happens to be the more structured, rigid way of storing data, like a phone book.
Data is stored either in the server or in a structured query language(SQL) database on the premises.
Second, data collection will be migrated to the cloud,possibly Will no longer rely on structured query language;
In this lesson, you will begin learning SQL, the Structured Query Language used by most relational databases.
Structured Query Language(SQL) enables queries on this type of structured data within relational databases.
I'm talking about the relational database management system(RDBMS) and the Structured Query Language(SQL).
Born in the 1970s, Structured Query Language(SQL) databases, by definition, are queried in standardized code.
When you want to retrieve data from a database,you ask for the data by using Structured Query Language, or SQL.
The Structured Query Language used by traditional databases provides a uniform way to communicate with the server when storing and retrieving data.
Just like other RDBMS,MySQL stores data in tables and uses structured query language(SQL) for database access.
Structured Query Language(SQL) is an indispensable skill in the data science industry and generally speaking, learning this skill is fairly easy.
SQL compliance is a standard that a database must meet andimplements all the structured query language guidelines and standards.
Structured Query Language(SQL) is an indispensable skill in the data science industry and generally speaking, learning this skill is fairly easy.
Adapters exist for Scala, JRuby, Perl, and PHP, and there's a Structured Query Language adapter that supports streaming into a Storm topology.
Topics include Structured Query Language(SQL), relational models, elementary database design as well as database management with a programming language such as Java.
Shark, which is realized over Spark, provides a Structured Query Language(SQL) abstraction over a cluster- similar to the abstraction Hive provides over Hadoop.
In fact, software applications include structured query language(SQL) and other database user inquiry products and those oriented to analysis or scientific methods.
In all cases, database administrators will need a strong foundation in database languages, particularly Structure Query Language(SQL).