SQL Server 2008 New Features(1)

vest013 2008-06-27 12:31:36
SQL Server 2008 New Features



1、TRUSTED
SQL Server provides the highest levels of security, reliability, and scalability for your business-critical applications.

1.1、Protect valuable information

1.1.1、Transparent Data Encryption
Enable encryption of an entire database, data files, or log files, without the need for application changes. Benefits of this include: Search encrypted data using both range and fuzzy searches, search secure data from unauthorized users, and data encryption without any required changes in existing applications.

1.1.2、Extensible Key Management
SQL Server 2005 provides a comprehensive solution for encryption and key management. SQL Server 2008 delivers an excellent solution to this growing need by supporting third-party key management and HSM products.

1.1.3、Auditing
Create and manage auditing via DDL, while simplifying compliance by providing more comprehensive data auditing. This enables organizations to answer common questions, such as, "What data was retrieved?"

1.2、Ensure business continuity

1.2.1、Enhanced Database Mirroring
SQL Server 2008 builds on SQL Server 2005 by providing a more reliable platform that has enhanced database mirroring, including automatic page repair, improved performance, and enhanced supportability.

1.2.2、Automatic Recovery of Data Pages
SQL Server 2008 enables the principal and mirror machines to transparently recover from 823/824 types of data page errors by requesting a fresh copy of the suspect page from the mirroring partner transparently to end users and applications.

1.2.3、Log Stream Compression
Database mirroring requires data transmissions between the participants of the mirroring implementations. With SQL Server 2008, compression of the outgoing log stream between the participants delivers optimal performance and minimizes the network bandwidth used by database mirroring.

1.3、Enable predictable response

1.3.1、Resource Governor
Provide a consistent and predictable response to end users with the introduction of Resource Governor, allowing organizations to define resource limits and priorities for different workloads, which enable concurrent workloads to provide consistent performance to their end users.

1.3.2、Predictable Query Performance
Enable greater query performance stability and predictability by providing functionality to lock down query plans, enabling organizations to promote stable query plans across hardware server replacements, server upgrades, and production deployments.

1.3.3、Data Compression
Enable data to be stored more effectively, and reduce the storage requirements for your data. Data compression also provides significant performance improvements for large I/O bound workloads, like data warehousing.

1.3.4、Hot Add CPU
Dynamically scale a database on demand by allowing CPU resources to be added to SQL Server 2008 on supported hardware platforms without forcing any downtime on applications. Note that SQL Server already supports the ability to add memory resources online.





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wzy_love_sly 2008-06-27
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[Quote=引用 2 楼 liangCK 的回复:]
看戏..看ranzj的.
[/Quote]
nzperfect 2008-06-27
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接分
liangCK 2008-06-27
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看戏..看ranzj的.
vest013 2008-06-27
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one of ?
正宗老冉 2008-06-27
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你们都看我做什么,呵呵.


楼主我认识!


平分吧.
xuxingok 2008-06-27
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jfjf
dobear_0922 2008-06-27
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严重关注事态发展。
shuhua 2008-06-27
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太长了,专业,还是看不懂。
LZ有没有中文的?
源码链接: https://pan.quark.cn/s/a4b39357ea24 在本研究中,我们将详细研究如何借助Python执行数据可视化,旨在剖析2018年期间中国四个主要城市——北京、上海、广州以及深圳的空气质量状况。通过绘制反映空气质量指数(AQI)与细颗粒物(PM2.5)变化趋势的图表,我们能够深入理解这些大都市全年的空气环境质量,并明确评估其优良天气所占的比重。 我们必须首先进行数据准备工作。在当前提供的压缩文件内,名为"2018天气"的文件极有可能是数据来源,其中可能收录了涉及四个城市每日空气质量监测的详细信息。这些数据通常涵盖日期、城市名称、AQI数值、PM2.5含量等核心参数。在Python编程环境中,我们惯常运用pandas库来对这类结构化数据进行高效的处理和分析。 1. **数据导入与初步处理**: - 利用`pandas.read_csv()`方法来导入存储为CSV格式的数据资料。 - 数据整理:对数据中的空白项、非正常数值进行修正,保证数据的精确性。 - 调整日期字段的格式,确保其能够适用于时间序列分析的需求。 2. **数据深度分析**: - 针对每个城市的AQI和PM2.5数据执行统计性描述,例如计算平均值、中位数、标准偏差等指标。 - 确定空气质量良好天气的天数,即那些AQI值低于75(依据中国的空气质量评估标准)的日数。 3. **数据呈现**: - 运用matplotlib或seaborn工具绘制折线图,直观展示四个城市在2018年全年的AQI和PM2.5变化动态。 - 可通过采用不同的颜色方案和线条类型来区分不同城市的数据系列。 - 添加必要的图示元素,如日期坐标轴、城市名称标注、图表标题及图例说明,以提升图表的可读...

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