lookup table in data warehouse

0x00 Preface The following content, is the author in the study and work of some summary, of which the concept of most of the content from the book, the practical content mostly from their own work and personal understanding. Due to the lack of qualifications, there will inevitably be many mistakes, I hope to criticize. Overview The Data warehouse contains a lot of content, which can include architecture, m

including coarse-grained and fine-grained conditions and the content of the data around the event generation and response, the active service mechanism mainly includes three element events, conditions, actions (Event-condition Condition-action,eca), Based on these three elements, the development of a service engine for active decision building is built on the basis of data

topic of today's blog.First, the definition of the search protocolBecause this blog we are involved in finding a variety of ways to find tables, and the data structure of the lookup table is linear structure. Based on the features of Swift's object-oriented language and the principles of interface-oriented programming , we first define a protocol for all of our

PHP-based data warehouse receiving Program (2): php-based data warehouse receiving program In the previous article, the Program for collecting data into the database based on PHP (ii) mentions the list data on the news information

information at different levels is in each level. The following table is a simplified example of an entity-level ETL data mapping table. Each "X" in the table represents a link to the operation details or the lower-level data map document.

example in this tutorial, you must install at least the Informix Warehouse Feature client and Informix Dynamic server, and a database server is running (local or remote). This tutorial takes a fictional simplified example of a business scenario in the retail industry. We will design and deploy an Informix data mart for retail companies Sports Stores for sales and cost analysis. This new

the relationship between the object and the object. For example, at this stage, we can use modeling tools such as Erwin to create a 3nf-compliant relational data model.4. Physical Modeling stageThe physical modeling stage is the last process of data modeling. This process is actually a process of putting the previous Logical Data Model into practice. Considering

express the relevance between businesses. At this stage, I suggest you refer to the 3nf modeling method to express the attributes of an object and the relationship between the object and the object. For example, at this stage, we can use modeling tools such as Erwin to create a 3nf-compliant relational data model. 4. Physical Modeling stage The physical modeling stage is the last process of data modeling.

, reflecting the division of dimension layers, which can be a constraint for analyticdb queries. This is a difference between data warehouse and operational applications in data model design. The number of dimension table levels depends on the query granularity. In the actual business environment, the multi-dimensional

table join (join) and aggregate queries (aggregation) for large database tables, providing the highest performanceWhen using the hash table, SQL DW uses the hash function to assign each row to the same partition.In a database table, define one of the columns in the column, and use the hash function to save the data to

PHP-based simple collection data warehouse receiving program [continued], php collection warehouse receiving sequel. PHP-based simple collection data warehouse receiving program [continued], php collection warehouse receiving sequ

information and external information of the enterprise.(2) The storage and management of data is the core of the whole data Warehouse system. Data warehouses can be divided into enterprise-level data warehouses and departmental data