nosql data warehouse

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. S

In SVN , our project is not called a project or a folder, but it's called a "warehouse."Steps for building a warehouse:1,Create a code WarehouseL Create a folder under any drive letter (D:\svn\myApp\) as our version of the Coogan directory, such as we need to build a shop project, the current shop can only be counted as a folder, not "warehouse"L Svnadmin Create

In the data warehouse project, ETL is undoubtedly the most tedious, time-consuming, and unstable. If the data source and target are both oracle and meet certain conditions, you can use In the data warehouse project, ETL is undoubtedly the most tedious, time-consuming, and un

MySQL big data warehouse receiving (single table) bitsCN.com MySQL big data warehouse receiving (single table) Recently, I have been studying data warehouse receiving. for the INSERT command, a small amount of

Prior to the deployment of the company BI Project example, found that the database tables are not set the primary key, foreign keys, has been thought to be a simulation project, the reason for not rigorous requirements. Today we know that the Data Warehouse is not designed for primary and foreign keys. These constraints should be done when ETL is programmed to ensure that all

Recently, a friend asked, what are the difficulties in data warehouse development? After several years of development, we talked about data warehouses.TechnologyI personally don't think it is difficult to query and process large amounts of data and ETL processes in a data

analysis to help policymakers better grasp future trends. According to these requirements, the information system of national credit securities needs strong backstage support, and it also needs excellent front-end application to help it provide integrated applications, real-time processing, intelligent decision support and other characteristics. Overall, the system needs to accurately understand and grasp the history of the company's business, timely grasp of the current operating conditions,

SQL ServerCategory 4Data warehouse modelingMethods are mainly divided into the following four types. The first type is the three-paradigm modeling of relational databases. We usually use the three-paradigm modeling method to build various types of operational database systems. The second category is the three-paradigm data warehouse modeling promoted by inmon,

Book inventory plays an important key business data for warehouse management operations in books. Development at any age now promotes blood circulation in books, book types and update speed are just as fast rising.In order to ensure a foothold in the book industry, to ensure the correct purchase and inventory control and delivery. In order to avoid the backlog of goods, management costs added. However. Trad

Data Warehouse components: Subject Presentation: Support: 1. product-based Metadata Management Center 2. product-based Data Quality Control Platform 3. the support behind excellent scheduling and job monitoring tools is the cornerstone of entity presentation. Data Warehouse

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

Demo source code Background I wanted to talk about the background of this article, and later I found that the native word is poor. Therefore, in this topic, we use delegation to implement a global data cache warehouse. This class Library receives four parameters: 1. the Data Type of the data to be stored; 2. the method

In order to set up the Data warehouse in the SS function, there is some controversy in the team. The main focus is on why to provide this function, in the end there is no need for such issues, but ultimately this function is still on. Believe that the initial users will have the same question, I would like to introduce some of the use of data warehousing, but als

> ODS Layer Mainly responsible for collecting business systems and keeping relevant business data for a certain period of time. Of course, you can also meet the user's query requirements for detail data, but also can be counted as a detail warehouse. > Data Warehouse Layer T

Tags: des blog http io os using AR strong for[Article Zhang Feast this article version: v1.1 Last modified: 2010.05.18 reproduced Please specify the original link: http://blog.zyan.cc/infobright/]Infobright is a MySQL-integrated open source data Warehouse software that can be used as a storage engine for MySQL, and select queries are no different than normal MySQL.　　First, the basic characteristics of Infob

original disk on the large amount of IO overhead and CPU compression work to achieve a better tradeoff. The compression rate is approximately 90%. In addition, Vertica's write data and read data are separated, the read data in a compressed state exists on the disk, the written data is first in memory, the asynchronous

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

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

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; The OLAP schema is saved by default in the "C:\

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