ods data warehouse

The Oracle tutorial you are looking at is Oracle Data Warehouse tiered Manager Solution Developer Network Oracle. SummaryThis paper describes the principles, procedures, limitations of the hierarchical manager, and combines with Oracle Data Warehouse to realize the efficient storage and management of geo-

A data warehouse can be used as a data source for data mining, OLAP, and other analysis tools. Because the data stored in a data warehouse must be filtered and converted, the wrong

intelligence can assist business decision-making, which can be either operational or tactical or strategic. To turn data into knowledge, you need to leverage technologies such as data warehousing, online analytical processing (OLAP) tools, and data mining. Therefore, from the technical level, business intelligence is not a new technology, it is only

The Kimball of Master Ralph: The Inmon of Bill master 1. Brief introduction The architecture design of BI system is the core of Data Warehouse architecture design. In the field of Data Warehouse architecture, there are two schools of theoretical knowledge, which were presented by two Masters Ralph Kimballbill Inmo

This article mainly introduces the open-source MySQL efficient data warehouse solution: Infobright details. This article describes the features of Infobright, the value of Infobright, the applicable scenarios of Infobright, and the comparison with MySQL, for more information, see Infobright, a column-based database based on the unique patented knowledge grid technology. Infobright is an open-source MySQL

[CSDN report] Some time ago, an article was published on Gigaom: whatunbelievablenewservicesdoesAmazonhaveontap? Now we know at least one of them, Amazon's incredible new service, Redshift data warehouse service, points to Oracle, IBM, and Teradata. [CSDN report] Some time ago, an article on Gigaom was published: what unbelievable new services does Amazon have on tap? Now we know at least one of them, Amazo

1 Introduction Database has become an indispensable part of large software, database is playing a more and more important role in software system, and database design is becoming an important factor affecting software performance and robustness. As the complexity of the software architecture grows higher, developers have to design more tables to store the data they need. The more tables, the more complex the database. Complex databases don't have any

When you walk into the boss's office and face corporate decision makers, do you know what to say to them? How can we sell our ideas to decision makers? How can they accept your opinion? Suggestions for implementing data warehouse You know that you need a data warehouse and have made up your mind: your competitors have

This course aims to achieveIn the SQL Server Enterprise ManagerData conversion Service (DTS) designerCreate an analysis services processing taskTo achieve automatic extraction, conversion, and filling of the data required by the Data Warehouse-------------------------------(For details, refer toCreate an analysis services processing task)This example is as follow

Materialized View synchronization count 1. Usage Now we need to synchronize some data in the production database to the Data Warehouse. Considering the cost and convenience, we need to regularly refresh the materialized view for data synchronization. 2. Overall Implementation ideas L create a dblink to access the remot

Differences between OLAP and OLTP Environments 1 The performance tuning in the DB2 data warehouse environment is different from that in the OLTP environment, mainly manifested in the following aspects: 1.1 transaction length. Transactions in the OLTP environment are usually short transactions, including multipleSQLStatements, which can often be completed within several seconds. In a

The purpose of the data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports). The basic architecture of data warehouse mainly consists of the process of data