SQL Server 2008 推出了两个新的性能,第一个就是数据仓库madison,这主要面向的是各种层面的客户,而且微软希望把SQL在数据层面达到前所未有的水平,用于处理。另一个就是普遍关注的BI,商业智能。而且重点是在SQL Server 2008商业智能功能,可以帮助企业做
SQL Server 2008推出了两个新的性能,第一个就是数据仓库madison,这主要面向的是各种层面的客户,而且微软希望把SQL在数据层面达到前所未有的水平,用于处理。另一个就是普遍关注的BI,商业智能。而且重点是在SQL Server 2008商业智能功能,可以帮助企业做出有效的IT管理解决方案,让数据有安全性和一致性。 微软会在2010年的上半年推出SQLServer的Kilimangaro,它也被称为管理的服务模式,对于企业HR的人需要做出决策,而且要与业务部联系要看一下公司推出的是什么样的产品,这里SQL Server 2008商业智能可以帮助企业整合多种渠道的资源,做出BI的决策。
可以说,SQL Server绝对算得上目前最流行的数据库之一,尽管如此,微软在商业智能(BI)市场上仍然是一个落后者,从元数据管理、报表、仪表板以及特设的查询功能方面而言,微软的BI产品仍然存在很大的不足。根据市场研究机构IDC的研究报告,在目前所有的BI厂商中,微软去年的排名仅仅为第五。
不过,随着微软对于商业智能业务的重视程度越来越高,它也采取了一系列的行动来提升自己的BI技术,微软的BI王牌也渐渐浮出水面。研究机构Forrester Research的分析师James Kobielus表示,微软的Excel制表软件现在已经渗入到人们生活的方方面面,越来越多的商业分析师使用Excel作为前端程序分析和展示BI查询的结果。
在紧密整合Excel和SQL Server数据库以及其它后端BI工具方面,微软已经做了一些工作,比如PerformancePoint Server和SharePoint Server。利用其刚刚公布的“Project Gemini”计划,微软将大大加快无缝集成Excel和SQL Server以及其它BI工具的进程。微软的目标是“将一个基于Excel的用户分析聚合(Mashup)工具引入微软的BI和数据仓库产品投资组合的内核中。”Kobielus在一封电子邮件中写道。“届时,曾经只有OLAP数据建模师和其他一些受过严格培训的工作人员才能接触到的分析工具将能够被企业的任何员工所使用。” Kobielus写道。
但是,Excel并不是微软想要在BI战场上计划使用的唯一的客户端应用程序。微软负责SQL Server商业智能业务的负责人Tom Casey表示,用户还将能访问来自微软的Dynamics 2009 ERP应用的BI查询结果。Internet Explorer也将用于展示微软的BI查询结果,Kobielus说。
“其他BI厂商(比如IBM Cognos、QlikTech、TIBCO/Spotfire、SAP Business Objects)已经开发出了内存BI/OLAP工具,但是它们都没有提供Excel一体化、特设自助服务分析制作、协作发布和共享以及IT治理功能,而这些技术都将包含在微软的Project Gemini项目中”,Kobielus说。 “这是一个改变BI和OLAP领域游戏规则的重大举措,将会引领”后OLAP“时代的通用的、深度多维的、用户开发的分析技术。”

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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