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 Inmon in the early 90. These two masters are the major gurus and theorists in the field of bus
[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, Amazon's incredible new service, Redshift data
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 data warehousing, OLAP and data mining technology, such as the comprehensive use.The realization of business intelligence involves software, hardwa
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 predicted market trends earlier than you, other companies are also more responsive than y
Database Description: This query is based on MySQLI. Establishment of the table1.1 Tables and fields to be createdEmployee Form E (employeeid,name,department): Employee number, name, department;Product table P (prodectid,name,model,size,color): Product number, product name, model, size, color;Warehouse Table W (Warehouseid,name,address,employeeid): Warehouse number, war
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 data warehouse environme
1. Introduction
Broadly speaking, a data warehouse is a type of database, which is maintained separately with the operational database of the Organization. The data warehouse system allows various application systems to be integrated to provide a solid platform for unified historical data analysis and support information processing.
Data warehousing is acollection of demo-support technologies, aimed at enab
1, actual combat purposes
build an enterprise-private mirrored warehouse that meets push and pull mirroring from the development environment . When we use k8s to orchestrate and dispatch containers, the basic unit of the operation is mirroring, so we need to pull the mirror from the repository to the current working node. The use of a public Docker hub is perfectly suited to our needs and is very convenient, but the uploaded image can be acce
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-data and the rapid browsing of large-scale data.
Key WordsHierarchical manager Meta Data quick browsin
Data
Main content
A. Considering the development of data warehouse from the perspective of system and whole
Two. Concept and content of CIF
Three CIF Case-sap BW
Four Data Warehouse and Enterprise application integration
Five Summary
References
Summary
The main content of this paper is to introduce the enterprise information factory and discuss the system and integrity that should be considered when est
in multiple legacy locations, and in some cases even relatively small data sources, such as Microsoft Excel spreadsheets, can be stored on file shares.
Clean up data
When you merge OLTP data into a data warehouse, you provide an opportunity to clean up your data. You may find that different OLTP systems spell items differently, or that the merge process may not overwrite previously unknown spelling errors. Other inconsistencies may also be found, s
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 problems writing data, but if we want to get
Test instructions: A set (matrix) m[i][j]=m[j][i] weight, divided into two sets, so that its weight value is maximum. Note: Weights in the same set can only be counted one.Idea: DFS
Assume that all are in the collection 0
Get the collection 1 when you traverse the ID.
If the overall weight of the set 0 associated with the ID is to be added, the overall weight value should be reduced
If you get a set of 1 weights, go back to
First, the basic elements of the diagram1. Vertex/node (vertex);2. Edge (Edge), connecting two points, can be without direction can also be for the edge, you can for the right side can also be the right side;3. Connected graph: Any two points on the diagram are connected. That is, any two points are connected by one or more edges.4. Connected components: Maximum connected subgraph. That is ① is the subgraph of the graph; ② the subgraph is connected; ③ is the subgraph with the largest number of n
China's banking industry in the development process, has gradually accumulated a large number of customer data and operating data. How to use these data to discover valuable information is of general concern to China's banking industry today. The key to solve the problem is to set up the bank's enterprise-level data warehouse, realize the effective storage of all the business information and customer information of the bank, and carry out multi-level
Data Warehouse is a subject-oriented (Subject oriented), integrated (integrate), relatively stable (non-volatile), data collection that reflects historical changes (time Variant). Used to support management decisions.The so-called (1) topic-oriented: Index data in the warehouse is organized according to a certain subject domain.(2) Integration: Refers to the original distributed database data through the sy
Oracle Financial Services Application (OFSA) technical platform: includes Oracle Warehouse Builder Data Warehouse building tool, Oracle8i Database, Oracle Express multi-dimensional database, Common Warehouse Metadata Common Data Warehouse Metadata management tool, Oracle Internet Develop Suites business intelligence to
The following describes the functions and usage of the DB2 data warehouse center. If you are interested in the DB2 data warehouse, take a look.
DB2 on Windows and AIX comes with a data warehouse center. This free tool provides a function subset of the data warehouse center belonging to DB2 DWM. The DB2 data
Using Warehouse Mirroring Warehouses can be declared in a project, but sometimes you might want to use the image of a warehouse without modifying the project file. Reasons for using mirroring:
has a synchronous mirror and is faster.
You want to use your own internal warehouses that you control.
You want to run Repository Manager to provide a local cache (mirror), and then use the cached UR
ZOJ 2601 Warehouse KeeperThe company where Jerry works owns a number of warehouses so can be used to store various goods. For each warehouse the types of goods the can is stored in this warehouse is known. To avoid problems with taxes, each warehouse must store is only one type of goods, and each type of goods must is
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