What is the difference between dataset and database ? If they are different then how ?
数据集和数据库有什么区别？如果他们不同那么怎么样？
Why huge data is difficult to be managed by database today .
为什么今天数据库很难管理大数据。
Please answer independent of any programming language.
请独立于任何编程语言回答。
2 个解决方案
#1
14
In American English, database usually means "an organized collection of data". A database is usually under the control of a database management system, which is software that, among other things, manages multi-user access to the database. (Usually, but not necessarily. Some simple databases are just text files processed with interpreted languages like awk and Python.)
在美式英语中，数据库通常意味着“有组织的数据集”。数据库通常在数据库管理系统的控制之下，该系统是管理对数据库的多用户访问的软件。 （通常，但不一定。一些简单的数据库只是使用awk和Python等解释语言处理的文本文件。）
In the SQL world, which is what I'm most familiar with, a database includes things like tables, views, stored procedures, triggers, permissions, and data.
在SQL世界中，这是我最熟悉的，数据库包括表，视图，存储过程，触发器，权限和数据之类的东西。
Again, in American English, dataset usually refers to data selected and arranged in rows and columns for processing by statistical software. The data might have come from a database, but it might not.
同样，在美式英语中，数据集通常是指按行和列选择和排列的数据，以供统计软件处理。数据可能来自数据库，但可能不是。
#2
4
A dataset is the data... usually in a table or can be XML or other types of data however it's only data... it doesn't really do anything.
数据集是数据...通常在表中，或者可以是XML或其他类型的数据，但它只是数据......它实际上并没有做任何事情。
And as you know a database is a container for the dataset usually with built in infrastructure around it to interact with it.
正如您所知，数据库是数据集的容器，通常在其周围具有内置基础架构以与其进行交互。
Huge data isn't hard to manage for what I do. I guess you're asking a study related question?
对我所做的事情来说，巨大的数据并不难。我想你在问一个与研究有关的问题？
#1
14
In American English, database usually means "an organized collection of data". A database is usually under the control of a database management system, which is software that, among other things, manages multi-user access to the database. (Usually, but not necessarily. Some simple databases are just text files processed with interpreted languages like awk and Python.)
在美式英语中，数据库通常意味着“有组织的数据集”。数据库通常在数据库管理系统的控制之下，该系统是管理对数据库的多用户访问的软件。 （通常，但不一定。一些简单的数据库只是使用awk和Python等解释语言处理的文本文件。）
In the SQL world, which is what I'm most familiar with, a database includes things like tables, views, stored procedures, triggers, permissions, and data.
在SQL世界中，这是我最熟悉的，数据库包括表，视图，存储过程，触发器，权限和数据之类的东西。
Again, in American English, dataset usually refers to data selected and arranged in rows and columns for processing by statistical software. The data might have come from a database, but it might not.
同样，在美式英语中，数据集通常是指按行和列选择和排列的数据，以供统计软件处理。数据可能来自数据库，但可能不是。
#2
4
A dataset is the data... usually in a table or can be XML or other types of data however it's only data... it doesn't really do anything.
数据集是数据...通常在表中，或者可以是XML或其他类型的数据，但它只是数据......它实际上并没有做任何事情。
And as you know a database is a container for the dataset usually with built in infrastructure around it to interact with it.
正如您所知，数据库是数据集的容器，通常在其周围具有内置基础架构以与其进行交互。
Huge data isn't hard to manage for what I do. I guess you're asking a study related question?
对我所做的事情来说，巨大的数据并不难。我想你在问一个与研究有关的问题？