olap in data warehouse

Tags: OLAP online analytics for Data warehouse applicationsRelated articles:Data Warehouse Application (i): Data Warehouse model designData Warehouse Application (ii):

IBM DB2 Data Warehouse Edition is a set of products that combine the strengths of DB2 Data servers and the robust business intelligence infrastructure from IBM. DB2 DWE integrates Core Components for warehouse management, data conversion,

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

need to be fed back to different stages for analysis and calculation. Common Data mining methods include association analysis, classification and prediction, clustering, outlier detection, trend and Evolution Analysis.It can be said that online analytical processing and data mining are value-added technologies on the data warehouse.In terms of theoretical resear

OLAP system are read-only operations. Therefore, query throughput and response time are more important than transaction throughput. To facilitate complex analysis and visualization, data in a data warehouse is usually modeled in multiple dimensions. Dimensions are hierarchical, such as day-month-quarter-year, and prod

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 m

What is the difference between OLAP and OLTP and what is data warehouse?OLAP is usually called a data warehouse. However, data warehouses are only part of

The difference between OLAP and OLTP and what is Data Warehouse OLAP is often referred to as a data warehouse. But the data warehouse is onl

The topic of today's blog is: parameter linkage solution. Environment: Data Warehouse + OLAP (cube) + Reporting Service. Effect: multiple parameters (1, 2 ,......) Achieve interaction. First, let's talk about the principle. A data warehouse consists of fact tables and dimens

After the Oracle database has been upgraded to 11 GB recently, some problems have occurred. I began to find some things that need to be summarized. Every time I thought: next time, when I build my own data warehouse, be sure to pay attention to these details and do the work well at the initial stage of warehouse creation. 1. redo log Design1) if it can be put sep

Create | data How to create a successful data Warehouse (Warehose), the following story will tell you! The company's ' s ' Warehouse project began with a casual conversation between several executives on their way to LUN Ch. The people involved were the IT manager for decision support as as and as several members of

from data warehouse is the biggest purpose of establishing data warehouse and using data mining. The essence and process of both are two things. In other words, data warehousing should be established first, and

Before we saw the data and the preprocessing of the data, where was the data after processing? Put it in a place called "Data Warehouse".Basic concepts of data warehousing: Definition of

enterprise application systems, and external data sources to build a customer-centric data warehouse, obtain a consistent view of customer data within the enterprise, and obtain customer knowledge through query and report analysis, OLAP analysis, and

One of the previous articles-the Data warehouse multidimensional data model already provides a brief description of the definition and structure of an overly-dimensional model, as well as the concept of the fact table and the dimension table (Dimension table). Multidimensional data model, as a new logical model, gives

1. First of all, let's not take big data to say things, first analysis of OLAP and OLTP.OLAP: Online analytical Processing (OLAP) systems are the most important applications of data warehouse systems and are specifically designed to support complex analytical operations, wit

locations. In some cases, relatively small data sources, such as Microsoft Excel, can be stored on file sharing. Clear Data After the OLTP data is merged into the data warehouse, it provides an opportunity to clean up the data