Data
Three CIF Case-sap BW
The main feature is that ERP vendors provide the entire architecture, which saves a lot of design work, and reduces the cost of design and development, encapsulation of the business in BW, reducing the difficulty of long-term maintenance. ERP data resources are very rich and valuable, should be an important source of data warehousing,
The Data warehouse is usually the largest database within the enterprise. Building and managing systems is a big task that can quickly become unmanageable because of the incompatible input that many users provide. Improving the system's query performance is achievable, but must be carefully planned and followed by a visionary design and development phase. In this article, we will list some of the technologi
-makingStorage is called Data Warehouse (DW ).W. H. Inmon defines data warehouse as a topic-oriented and integrated data warehouse that supports management decision-making processes..A topic is the standard for
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
Tags: Data Warehouse optimizationin the absence of a real data warehouse database, now all data warehouses are just a relational database created based on the dimension model, but the Data War
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
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Summary
Preface
The previous article described the business Modeling and domain concept modeling in the Data warehouse model design, and then came naturally to the phase of the logical Data Modeling LDM (Logical data Model), which is on
IntroductionThe data warehouse architecture is a branch of the IT architecture. As the core role of data in enterprises increases, the data warehouse architecture becomes increasingly important. The data
Review
As more and more organizations of data from the GB, TB level to the PB level, marking the entire social informatization level is entering a new era-the big data era. The processing of massive data, analytical ability, increasingly becoming the key factor in the future of the organization in this era, and based on the application of large
The inventory check of books plays a vital role in the warehousing management of book enterprises. With the development of the times, the circulation of books is growing today, and the types and update speed of books are also increasing rapidly. To ensure a foothold in the book industry, we must first ensure the correct purchase and inventory control and delivery, so as to avoid the increase of goods backlog and management costs. However, traditional simple and static
Label:In the absence of a real data warehouse database, all data warehouses are now just a relational database created based on the dimension model, but the Data Warehouse database itself has some differences, such as the unique features of an OLTP database, such as the most
Multidimensional data modeling organizes data in an intuitive way and supports high-performance data access. Each multidimensional data model is represented by multiple multidimensional data patterns, and each multidimensional data
SQL Server Technical Documentation
Author: Eric N. Hanson, Kevin Farlee, Stefano Stefani, Shu Scott, Gopal Ashok, Torsten grabs, Sara Tahir, Sunil Agarwal, T.K. Anand, Richard Tkachuk, Catherine Chang, and Edward melomed, Microsoft Corp.
Technical Inspector: Eric N. Hanson, Microsoft Corp. release date: December 2007
Applicable products: SQL Server 2008
Summary: SQL Server 2008 has made a huge leap in the scalability of the data
Data topic: How to Advertise Data Warehouse?
Author: hem
Affiliated Forum: Data Warehouse
Problem points: 300
Number of replies: 1
Popularity Index: 6
Publish Time: 2001-9-13 16:38:32
Data warehousing is a theme-oriented, integrat
Oracle Data Warehouse creation tutorial. How to create a data warehouse, create an example, think of graduation design requirements, recently began Oracle's Warehouse modeling practice, detailed records of the graphical interface Oracle database 12C
Tags: des style blog http color os using IO JavaFor the first two years of the Data Warehouse, all calculations (including data ETL, and report calculation) were implemented using a high-profile standalone + MySQL approach. No OLAP). Used MySQL's own MyISAM and Columnstore engine infobright. This article summarizes some of the common performance issues and soluti
Top 10 best practices for building a large Relational Data Warehouse
Writer:Stuart ozer, Prem Mehra, and Kevin Cox
Technical ReviewPerson:Lubor Kollar, Thomas kejser, Denny Lee, Jimmy may, Michael Redman, and Sanjay Mishra
Building a large relational data warehouse is a complex task. This article describes some design
(r.id.lv_chatlist);) Use this methodLv.setonitemclicklistener (New Adapterview.onitemclicklistener () {@Overridepublic void Onitemclick (adapterviewYour code of executionIntent Intent = new Intent (getactivity (), chatactivity.class);Intent.putextra ("Account", mlist.get (position). GetName ());Intent.putextra ("icon", mlist.get (position). GetIcon ());StartActivity (Intent);}});You can handle the Click event. The position here is the first item of the list you clicked.
In this way, th
Ix. Degradation DimensionsThis section discusses a technique called a degenerate dimension. This technology reduces the number of dimensions and simplifies the dimension Data Warehouse model. Simple patterns are easier to understand than complex and have better query performance. This dimension can be degraded when there is no data required for the
Tags: sqlAzure Documentation:https://docs.azure.cn/zh-cn/#pivot =productspanel=databasesSQL Data Warehouse Documentation:https://docs.azure.cn/zh-cn/sql-data-warehouse/Learn how to use SQL Data Warehouse, which combines SQL Server
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