对于BI项目,在数据仓库方面的技术实现主要是进行数据集成的工作,源数据可能来自不同的业务数据库(如Sql Server、ORACLE、My sql、EXCEL等),通过SSIS的数据流组件很容易进行各类数据库的ETL,由于微软之前提供的ORACLE接口不支持ORACLE 9以上的版本,因
对于BI项目,在数据仓库方面的技术实现主要是进行数据集成的工作,源数据可能来自不同的业务数据库(如Sql Server、ORACLE、My sql、EXCEL等),通过SSIS的数据流组件很容易进行各类数据库的ETL,由于微软之前提供的ORACLE接口不支持ORACLE 9以上的版本,因此需要安装ORACLE客户端才能在SSIS中连接ORACLE,能否类似ADO.NET的方式连接ORACLE呢?通过Microsoft Connector for Oracle by Attunity组件可以实现,并具备非常高的性能,这方面老外做过详细的测试,并且这一点已在本人负责的年初已上线的公司BI项目中得到了实际验证,,并至今运行稳定(自动抓取Winchill系统的ORACLE数据视图到SQL SERVER的数据仓库中,比如对于几十万的数据只需要10秒就同步到数据仓库中),对于SQL SERVER 2008 R2以下的,可以安装1.2版本,如果是SQL SERVER 2012的,可以安装2.0版本,该组件下载地址:
Microsoft® Connectors v1.2 for Oracle and TeradataMicrosoft Connectors v2.0 for Oracle and Teradata
该组件支持Oracle 9.2.0.4或更高版本的,架构如下图:
安装完成后,将在SSIS的数据流的工具栏中多了两个组件,如下图:
比如要添加一个ORACLE源数据,首先需要创建一个ORACLE连接,配置非常简单,如下图:
其他设置都是标准的SSIS数据流操作,这里就不再详细介绍了,另外看一下老外做的测试结果,如下图:
详细内容可以参考:(v=sql.100).aspx
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InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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