etl data warehouse concepts

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Data Warehouse design without primary key foreign key

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 en

Introduction to the English abbreviation of Data Warehouse

the attribute of the indicator. For example: "2015-01-12 PV is 1000", then the date (is the 2015-01-12 abstract) is the dimension, PV is the indicator, 1000 is the valueLatitude tableThe dimension table puts the data table that holds the dimension, or the data table of the dimension relationshipReal-time TablesThe fact table holds the data to query the dimension

Is the Data Warehouse dying ??

two months or one quarter,1 billion and 1.003 billion are not very different for them. Even if they don't need to read reports, they will know the general situation from each meeting and PPT; Let's take a look.DW: Traditional DW integrates data from various operating systems (ERP and SCM) by developing ETL. These data are operational

How to publicize the Data Warehouse?

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

SQL performance optimization in the Data Warehouse (MySQL chapter)

Tags: des style blog http color os using IO JavaFor the first two years of the Data Warehouse, all calculations (including data ETL, and report calculation) were implemented using a high-profile standalone + MySQL approach. No OLAP). Used MySQL's own MyISAM and Columnstore engine infobright. This article summarizes som

Vertica: DBMS schema-based Columnstore Data Warehouse

function, the query node is often in snapshot isolation mode, So it's read-only in a sense, so it doesn't have to be locked when it's written. And the data in the WOS does not need to be sorted or compressed, and the bulk write throughput is relatively high.SummarizeVertica compared with the traditional database system and other column Data warehouse system, the

Seven steps to successfully implement a data Warehouse project

Building a data warehouse is not a simple task and should not be done by one person alone. Since data warehousing is best integrated with business practices and information systems technology, a successful data warehouse implementation requires constant coordination of both

What are the difficulties in data Warehouse development?

Recently, a friend asked, data warehouse development difficulties. Do a few years of data warehousing, talk about Data Warehouse Technical Difficulties, I personally think no, what large data query and processing,

Vertica: DBMS schema-based Columnstore Data Warehouse

read-only in a sense, so it doesn't have to be locked when it's written. And the data in the WOS does not need to be sorted or compressed, bulk write throughput is relatively high.SummarizeVertica compared with the traditional database system and other column Data warehouse system, there are obvious advantages in performance, there are some similarities and diff

Consider the feasibility of two kinds of data Warehouse architecture coexistence

Search for "Inmon and Kimball" on Google, and you'll easily find the concepts of these two names, which are two of the best-known ways of data Warehouse architecture. In this ocean of information, however, you will find that almost all of the content can come to a conclusion, that is, to choose between Bill Inmon and Ralph Kimball. But the "Father of

Open source Mysql Efficient Data Warehouse Solution: Infobright Detailed Introduction _mysql

Infobright is a column-type database based on a unique proprietary knowledge grid technology. Infobright is open source MySQL Data Warehouse solution, introduced a column storage solution, high-strength data compression, optimized statistical calculation (similar to Sum/avg/group by), Infobright is based on MySQL, but do not install MySQL can also, Because it its

What are the difficulties in data warehouse development?

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

MySQL Data Warehouse Solution infobright detailed

Infobright is a column-type database based on a unique proprietary knowledge grid technology. Infobright is open source MySQL Data Warehouse solution, introduced a column storage solution, high-strength data compression, optimized statistical calculation (similar to Sum/avg/group by), Infobright is based on MySQL, but do not install MySQL can also, Because it its

Building a high-performance Data Warehouse with SQL Server 2005

relevant database warehouses. Before we go on, let's make some assumptions about what we've already mentioned. Some of the relevant data warehouses used to store information are usually very large. data warehouses and data markets are often used in replaceable use. However, the data

Python language implements Data warehouse development __python

 Data Warehouse Architecture: Stg-ods-dw-rep/dm/other, Basic dimension date + product. Use the Python language to implement the ETL work of MySQL to Oracle, file landing method. Define HSS functions, program execution portals, define general.py public functions, and develop python.py scripts. Data architecture, eac

Data Warehouse Series-Why dimensions are modeled

concepts, such as active users, VIP users and so on. The goal of this level of data model is to express business processes flexibly, to ensure data consistency, uniqueness, correctness, to keep data synchronization with the source data at the least cost, and that the

"User Behavior Instant Analysis query" Data Warehouse implementation case sharing _impala

In the use of hive Data Warehouse large data query, there is a common problem is that the query is slow, can not give users a quick data analysis query. For decision-makers, how to get the data of user behavior analysis at the second level is a topic, The previous approac

Various tiers of the Data Warehouse

> 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

Apache Tajo: a distributed data warehouse running on yarn that supports SQL

Apache Tajo is a hadoop-based relational and distributed database warehouse system. At the beginning of its design, Tajo was designed to achieve low latency, scalability, and instant query through advanced database technologies, the database warehouse system that can be aggregated to make up for the shortcomings in real-time and relational transactions such as hadoop. Tajo also supports SQL standards, so yo

Vertica: DBMS schema-based Columnstore Data Warehouse

query node is often in snapshot isolation mode, So it's read-only in a sense, so it doesn't have to be locked when it's written. And the data in the WOS does not need to be sorted or compressed, bulk write throughput is relatively high.SummarizeVertica compared with the traditional database system and other column Data warehouse system, there are obvious advanta

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