star schema in data warehouse

Oracle 11g provides a sample schema for the Data Warehouse, and you can download the sample installation files by following the links below.Http://www.oracle.com/technology/products/bi/olap/doc_sample_schemas/global_11g_schema.zipUpload the downloaded file to the Oracle server and unzip it.[[emailprotected]~]$mkdirglobal_11g_schema[[email protected]~]$unzip-dglob

and th Eir attributes. Usually, not all attributes available to the source systems are needed for answering the business questions. However, potentially useful data elements would be integrated and so it'll not later is necessary to repeat all the analyses Performed for the pilot project. Figure 2:all The data is available through the access layer. For reasons of performance or because query tool requir

cases, the star pattern is layered into the snowflake model, that is, the star pattern is further layered and the data redundancy is reduced. To say so much, simply to answer two questions: Repeatability interactivity. The two issues correspond to two entities, data warehousing

limited to relational databases, the flexibility and performance of the entire data warehouse model are limited in some cases, especially when the underlying data of the Data Warehouse is summarized to the data in the

, and object relationships from the logical model of the Business System Data Model. From the author's point of view, the biggest advantage of inmon's paradigm modeling method is that from the perspective of relational databases, combined with the data model of the business system, data warehouse modeling can be easil

Oracle Star Schema analysis Star conversion is a very powerful optimization technology, which is implemented by implicit rewriting of the original SQL statement, it can greatly reduce I/O. end users do not need to know any details about star conversion. The database optimizer performs

is closely related to the Data warehouse and the RDBMS. But it never stood up and claimed it wasn't as simple as it seemed at first. Hadoop interrupted the conversation by claiming it was a data warehouse in the Hadoop field. Hadoop seems to give up the best marketing PR rep, and after a simple conversation, it turns

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

1. The classic Star Schema1) dimension tablesDimension attribute/described attributes (non-dimension attributes)Answer to "What/whe/WHO /..."Described attributes correspond to master Data .2) fact tableAnswer to "How much/how many", focus on "amount/quantity ..."Link to dimension table by a unique keyFrom OLTP perspective, fact table 3) star

Introduction to ETL technology: Introduction to ETL, data warehouse, and etl Data WarehouseETL is the abbreviation of Extract-Transform-Load. It is used to describe the process of extracting, transforming, and loading data from the source to the target. ETL is commonly used in data