star schema in data warehouse

around facts (scalars) and vectors, and are physically represented as star and snowflake architectures, with very few fully orthogonal planar tables that contain both facts and vectors. Because vector schemas are the most common relational data warehouse structures, this article focuses on the partitioning of such schemas. The following recommendations apply to

performance is good.To improve performance, you can allow violations of the third paradigm, proper redundancy, and the hiding of constraints between tablesDimension modelingThe business dimension is fused into the data model, and the name dimension is modeled.Or, for analysis convenience (commercial application requirements), the different levels of the same dimension (such as the city ID, county ID) are fused into the fact table (such as the User wi

Growth rates, geographical distribution of customers, customers ' propensity to buy services to add new services, what communications are sold in those areas Decisions about products and so on. Change over time: This is mentioned in the above two examples. Department store accounting system, communications company's accounting system is the most change over time A good example, the accounting system periodically belongs data, and then add belongs

Dimension Modeling Method Dimension modeling organizes information into structs, which typically correspond to the query methods that analysts want to use for data warehouse data. How much food sales were in the northwest in the third quarter of 1999. Represents the use of three dimensions (product, geography, time) to specify the information to be summarized.

Warehouse new Features 1 SQL Server relational database management system for Data Warehouse Improvement 1 Star Association 2 Partitioned Table Parallel 3 aligning partitioned Indexed views 4 GROUPING SETS4 MERGE5 Change data Capture 6 Minimum log record INSERT7

Preface: The cornerstone of high performance: good logic, physical design, according to the system to execute the query statement design schema This chapter focuses on MySQL database design, introduces the difference between MySQL database design and other relational database management system. Schema: "Source" The schema is a collection of database objects tha

17. Segmented DimensionsThis section describes the implementation techniques for segmented dimensions. A segmented dimension contains segments of successive values. For example, the annual sales order segment dimension may contain three files called "Low", "medium", "High", and each file definition is 0.01 to 15000, 15000.01 to 30000.00, 30000.01 to 99999999.99. If a customer's annual sales order amount is 10000, it is classified as a "low" file.A segmented dimension can store multiple segments

Backup | Data 1: Data Warehouse schema Backup Including the database architecture and OLAP architecture; The database includes a dimension table, fact table, and other temporary or control class tables whose structure is generated by generating SQL scripts. Note: Its primary key, index and so on are to be generated; Th

the search. Quick response to complex aggregate class queries: For complex analytical SQL queries such as SUM, COUNT, AVG, GROUP by Infobright the value Save design overhead. No complex Data Warehouse model design requirements (such as star model, snowflake model), no need materialized views, data parti

response to complex aggregate class queries: For complex analytical SQL queries such as SUM, COUNT, AVG, GROUP by The value of Infobright Save design overhead. No complex Data Warehouse model design requirements (such as star model, snowflake model), no need materialized views, data partitioning, index building Con

The methods for modeling SQL Server four data warehouses are mainly grouped into the following four categories. The first class is the three-paradigm modeling of relational databases, and we usually use the three-normal modeling method to build various operational database systems. The second type is the three-paradigm Data warehouse model advocated by Inmon, w

We often encounter this problem in the design of the Data Warehouse: If the dimension has only one attribute in the dimension design, is the choice to create a single dimension for this attribute, or will the attribute of that dimension be placed directly in the fact table as part of the fact table?Suppose there is a dimension, which is usually designed with at least two columns (Dimkey and Dimattribute pro

Paste some older content, the article is new write,Technology may be familiar to everyone, for the entry of the brothers reference. Master PatPlease see the original: Http://www.muduo.net/index.php/u ... space-itemid-318728TwoHigh-availability structures in multi-data centers "ring star type"Database Schema "Before we introduce this structure, let's first look at

I. Runtime Environment SQL> select * from v $ version;BANNER----------------------------------------------------------------Oracle Database 10g Enterprise Edition Release 10.2.0.1.0-ProdPL/SQL Release 10.2.0.1.0-ProductionCORE 10.2.0.1.0 ProductionTNS for 32-bit Windows: Version 10.2.0.1.0-ProductionNLSRTL Version 10.2.0.1.0-ProductionSQL> show parameter queryNAME TYPE VALUE-----------------------------------------------------------------------------Query_rewrite_enabled string TRUEQu

business dimension information for integrated integration, this situation is more appropriate for generating surrogate keys to master keys. Summary The construction of the dimension table seems relatively simple, in most cases the business library will be directly, but in addition to the different levels of the dimension of Redundancy (Star model), but also need to grasp the details of the following dimensions of the construction of atten

coordination jobsHDFs dfs-put-f coordinator.xml/user/root/(4) Run the coordination jobOozie Job-oozie Http://cdh2:11000/oozie-config/root/job-coord.properties-runFrom the Oozie Web console, you can see the coordinated jobs ready to run, with the status of Prep as shown in.This coordination job starts on July 11, 2016 and executes 14 points per day. The end date is very late, which is set for December 31, 2020. Be aware of the time zone settings. Oozie The default time zone is UTC and does not w