离线模式适用于非连续运行的环境，在这种环境中，数据库常常每天或每周(取决于数据库的重要性)进行一次整体备份。
The offline mode is for non-24x7 environment where databases are usually backed up as a whole either once a day or once a week, depending on the intensity of the database.
除非数据库或表的规模很小，否则不要对整个数据库、一个数据库中的所有表或一个表中的所有列使用high模式。
Never use the high mode for an entire database or all tables in a database or even all columns in a table unless the database or the tables are of a considerably smaller size.
接下来，创建一个数据库(或模式，根据您看待数据库中事物的方式)。
Next, create a database (or schema, depending on how you look at things in the database world).
希望从开发数据库和模式切换到测试或生产数据库和模式，并继续使用直接的SQL检验？
Want to switch from development to test or production databases and schemas, and continue to get instant SQL validation?
当进行少量更改时，例如添加或删除数据库列，该功能可以有效地减少数据库管理员对模式的修改操作。
This effectively reduces the need for database administrators to modify schemas when simple changes, such as the addition or removal of database columns, are performed.
fencedUDF和存储过程：如果数据库上运行着一个 fenced函数或过程，那么数据库共享内存中有一个段要预留给 fenced模式的通信。
Fenced UDFs and Stored Procedures: If a fenced function or procedure is run on the database, then one segment is used for fenced mode communication.
要执行这种类型的比较，可以选择一个模式或数据库，通过反向工程创建的数据模型存放在该模式或数据库中，然后单击右键，并选择CompareWith >OriginalSource。
To perform this type of compare, select the schema or database under the data model that was created as a result from reverse engineer, then right-click, and select Compare With > Original Source.
在SourceTables列表中展开数据库用户或模式，显示源数据库中的表。
Expand the database user or schema in the source tables list to show the tables in the source database.
数据源的范围很广，从简单的资源(比如演示和图像)到复杂的感知模式的数据源(比如关系数据库或Personal Information Management [PIM]数据库)。
Data sources can range from simple resources, such as memos and images, to complex schema-aware data types, such as relational databases or Personal Information Management (PIM) databases.
数据挖掘，又称数据库中的知识发现，是指从大型数据库或数据仓库中提取隐含的、事先未知的、潜在有用的信息或模式。
Data Mining, also referred to as Knowledge Discovery from database, is to abstract the potential, unknown and useful information or pattern from the large database or data warehouse.
数据挖掘，又称数据库中的知识发现，是指从大型数据库或数据仓库中提取具有潜在应用价值的知识或模式。
Data mining, referred to as knowledge discovery in databases, is the extraction of patterns representing valuable knowledge implicitly stored in large databases or data warehouses.
如果我理解正确的话，你希望能够从最初的数据库模式或早期数据库模式到当前数据库模式在一个野生?。
If I'm understanding you correctly, you'd like to be able to move from the initial database schema or an early database schema to the current database schema in one migratio?
如果我理解正确的话，你希望能够从最初的数据库模式或早期数据库模式到当前数据库模式在一个野生?。
If I'm understanding you correctly, you'd like to be able to move from the initial database schema or an early database schema to the current database schema in one migratio?
应用推荐