data warehouse design tutorial

. Integration of decentralized heterogeneous data into a single data source. 2. Use the structure of the appropriate analysis query to store the data. 3. The inclusion of data is a transactional conversion of new data to facilitate the analysis of decision-making personnel.

One-network fund settlement analysis system for Guangdong expressway Based on the Data Warehouse Star Model Magenfeng(Guangdong Union Electronic Service Co., Ltd., Guangzhou 510300, China) SummaryThe star mode is a well-known concept in the Data Warehouse Based on relational databases. the

Label:In short, the database is a transaction-oriented design, the Data Warehouse is a theme-oriented design.Databases generally store online transaction data, and data warehouses typically store historical data.Database design is

the multi-dimensional dataset of the downstream data stream can be accelerated and simplified. Query speed: The query speed should not be used as a reason to partition a data warehouse relational database. The query performance of fact tables with and without partitions is similar. In a correctly designed partitioned database, the relational engine only includes

dimension 9 series of data warehouse-Dimension Data Processing Methods -- Snowflake About Data Warehouse ETLA series of articles on data extraction and data SummarizationSimula

(Original article: ScalingtheFacebookdatawarehouseto300PB ?, This article is translated from the original article. Facebook's challenges in storage scalability in data warehouses are unique. Our Hive-based data warehouse stores more than Pb of data and is growing at a rate of TB per day. The number of

the field of business intelligence/data warehousing, but their two-bit ideas and ideas differ greatly. Their followers also often have a debate about which architectures and ways to build better.At home, we typically refer to the definition of the four characteristic angles of the Data warehouse (subject-oriented, integrated, relatively stable, reflecting histor

in the fact table, so we cannot build a new dimension-product dimension, but also build a product-themed fact table.Therefore, before building a multidimensional model, we will generally be based on the requirements of the detailed design of the model, which should be included in the measurement of the size of the data should be kept to what granularity to meet the needs of users.The multidimensional model

Objective:Ready to systematize a set of distributed Data Warehouse Modeling Practice Guide, the first list of the table, is to design a goal for themselves.The first part of the basic articleChapter One concept and definition of data Warehouse1.1 Data Management System1.2

1 Introduction Database has become an indispensable part of large software, database is playing a more and more important role in software system, and database design is becoming an important factor affecting software performance and robustness. As the complexity of the software architecture grows higher, developers have to design more tables to store the data t

: Different starting points: databases are designed for transactions and data warehouses are designed for topics. Different Data Storage: databases generally store online transaction data, while data warehouses generally store historical data. Different

multidimensional analysis technique used to meet decision-making users in a large number of business data, To explore the regularity of business activities, the analysis of market operational trends and to assist them in making strategic development decisions. According to the storage method of data, OLAP is divided into ROLAP,MOLAP and HOLAP. In the Data enviro

. customer-centric partnership Including Data Warehouse Technology Promotion Plan, system integrator Promotion Plan, and data warehouse platform market promotion plan. Oracle Data Warehouse contains a complete set of products and

flexible enough, a change in data warehouse design often leads to the reconstruction of the database. In addition, the current level of integration between Oracle 8i and Express is not high enough, Oracle 8i and express need to replicate metadata, if Oracle Discoverer (or Bo) need to access the rollup data, It is diff

1. Introduction Broadly speaking, a data warehouse is a type of database, which is maintained separately with the operational database of the Organization. The data warehouse system allows various application systems to be integrated to provide a solid platform for unified historical

The Oracle tutorial you are looking at is Oracle Data Warehouse tiered Manager Solution Developer Network Oracle. SummaryThis paper describes the principles, procedures, limitations of the hierarchical manager, and combines with Oracle Data Warehouse to realize the efficient