advantages of data warehouse ppt

the tactical decision. If the Dynamic Data Warehouse can be used for the entire enterprise, its commercial value will be greatly increased. Providing information to tens of thousands of decision-makers throughout the enterprise, even through CRM applications, to which customers can participate, will bring enormous advantages to business development. However, thi

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

mysterious numbers are indeed useful. You can say the following content, and I will tell you how to say it. Although no specific data is attached, the logic is strong and cannot be refuted. Advantages of data warehouse 1. multi-level trend analysis. Your financial staff, sales staff, and marketing staff will be able t

, dimension tables, summary tables, etc. New data needs to be updated to these tables on a daily basis. The procedures for updating these tables (programs) are developed at the very beginning, and each day only needs to pass some parameters, such as dates, to run the programs. 3. Data loading: Personally, each insert data to a table, can be called

region in the past five years? In this case, you can use the multi-dimensional cluster MDC feature provided by DB2 You can obtain rows with the same dimension value in batches. 2.2.4 use the materialized query table (MQT) function. MQT is a result set defined by a query statement, so that you do not need to dynamically build this result set during query execution. MQT has three advantages: DB2 can automatically rewrite the query to use MQT. The resul

, data conversion and summary, update summary data, metadata management, data mart implementation, etc. sas/ MDDB is a multidimensional database server that SAS uses for online analysis, SAS/AF provides screen design features and the SCL (screen control language) for development, and SAS/ITSV (IT service Vision) is the performance assessment and management softwa

databases, data warehouses complement each other.To add, the purpose of the Data Warehouse scheme is to provide front-end query and analysis as the basis, because there is a large redundancy, so the need for storage is also large. In order to better serve the front-end application, the data

Data Warehouse scheme is to provide front-end query and analysis as the basis, because there is a large redundancy, so the need for storage is also large. In order to better serve the front-end application, the data warehouse must have the following advantages, otherwise it

We recommend that you read and understand the following articles: ◆ Use a partition in a Microsoft SQL Server 2000 data warehouse-http://msdn.microsoft.com/library/default.asp? URL =/library/techart/PartitionsInDW.htm◆ SQL Server 2000 step by step batch import case study-http://www.microsoft.com/technet/prodtechnol/ SQL /2000/maintain/incbulkload.mspx◆ Kimberly L. Tripp: SQL Server 2005 Partition Table and

Abstract: This article describes the principles, steps, and restrictions of the hierarchical manager, and combines it with Oracle Data warehouse to achieve effective storage, management, and quick browsing of large-scale data. Quick viewing of metadata in the keyword layered Manager 　　 Preface The 21st century is the century of information, and the competition

, the data warehouse is not optimal for accessing a given user. Instead, the data warehouse can support multiple different users in a number of ways. Relational patterns, data is stored in the lowest-granularity and standardized form; Relationships between relational tables

Open-source MySQL efficient data warehouse solution: Infobright details, mysqlinfobright Infobright is a column-based database based on unique patented knowledge grid technology. Infobright is an open-source MySQL Data Warehouse solution that introduces the column storage solution, high-strength

When building a data warehouse, we will certainly mention the dimension modeling method. This method is first proposed by Kimball, and its simplest description is to build the Data Warehouse, data mart according to the fact table and dimension table. In the dimension modelin

The index of the Data warehouse is a tricky issue. If there are too many indexes, the data is inserted quickly but the query response is slow. If too many indexes, the data import is slow and the data is more storage space, but the query responds faster. The role of indexes

Overview This article discusses the role of data partitioning in data warehouses. Relational data warehouses and Analysis Services cubes support data partitioning. The logical concept of partitioning is the same in the two engines of Microsoft®sql Server™: Horizontal partitioning of

Infobright is a column-based database based on unique patented knowledge grid technology. Infobright is an open-source MySQL Data Warehouse solution that introduces the column storage solution, high-strength data compression, and optimized Statistical Computing (Class Infobright is a column-based database based on unique patented knowledge grid technology. Infobr

a brief explanation: Infobright as a column database using the usual characteristics of Columnstore, compression (column database compression rate generally can be achieved within 10%, Infobright is no exception). In addition, in order to speed up the search speed, it also uses a kind of knowledge grid retrieval method, which can greatly reduce the amount of data to be read. The principle of knowledge grids is beyond the scope of this article and can

hardware value: SQL Server Parallel Data Warehouse integrated with pre-installed hardware and software, integrates the current Microsoft's newest generation of software innovation technology such as xvelocity column storage, polybase, Windows Server-Hyper-V virtualization technology, Storage spaces storage technology drives streamlined and efficient hardware architectures to provide cost-effective

function, the query node is often in snapshot isolation mode, So it's read-only in a sense, so it doesn't have to be locked when it's written. And the data in the WOS does not need to be sorted or compressed, and the bulk write throughput is relatively high.SummarizeVertica compared with the traditional database system and other column Data warehouse system, the

Bill Inmon and Ralph Kimball, who were exposed to two names at school, were unfamiliar to most of the two Americans, but they were a resounding figure in the database field. Bill Inmon, known as the "Father of the Data Warehouse", he can now see a lot of scholarly papers and articles on the Web, and Wikipedia's introduction to him should be very comprehensive: in the 80 's, Inmon's "