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Open-source MySQL efficient data warehouse solution: Infobright details _ MySQL

This article mainly introduces the open-source MySQL efficient data warehouse solution: Infobright details. This article describes the features of Infobright, the value of Infobright, the applicable scenarios of Infobright, and the comparison with MySQL, for more information, see Infobright, a column-based database based on the unique patented knowledge grid technology. Infobright is an open-source MySQL

Auto House Data Platform Architecture _ Data Warehouse

Auto House Data Platform architectureInternet Enterprise Data Warehouse construction is to use the bottom-up approach, or top-down approach. If you are an architect in the data division, how do you plan a data warehouse? At the 20

Glossary: Data Warehouse

A data warehouse (DW) cleans, extracts, and transforms a large amount of traditional database data for transaction processing, and reorganizes the data according to the needs of decision topics. A large number of organizations have discovered that in today's competitive and fast-growing world,

Comparative analysis---Relational model and multidimensional model of Data Warehouse database design method

Label:There are two kinds of database design models widely used in Data warehouse: Relational type and multidimensional type. It is generally believed that the relational model in the design method of Data Warehouse is "Inmon" method and multidimensional model is "Kimball" method. First look at the relational model, wh

Using a data warehouse to spend less _ MySQL

When you walk into the boss's office and face corporate decision makers, do you know what to say to them? How can we sell our ideas to decision makers? How can they accept your opinion? Suggestions for implementing data warehouse You know that you need a data warehouse and have made up your mind: your competitors have

ETL of Data Warehouse--Practical Summary theory

Etl,extraction-transformation-loading abbreviations, Chinese names are data extraction, conversion, and loading. Most warehouse-based data architectures can be summarized as: Data source-->ods (operational datastore)-->DW-->DM (data mart) ETL throughout its various links.

DB2 Data Warehouse Optimization

Differences between OLAP and OLTP Environments 1 The performance tuning in the DB2 data warehouse environment is different from that in the OLTP environment, mainly manifested in the following aspects: 1.1 transaction length. Transactions in the OLTP environment are usually short transactions, including multipleSQLStatements, which can often be completed within several seconds. In a

Data Warehouse Experience Summary

Data Warehouse Experience Summary Planning by subject domainDW Theme domain contains things that interest decision makers in a certain aspect. A topic domain usually covers multiple business departments. For example, a product subject domain involves sales, finance, logistics, procurement, and other departments. A topic domain includes a topic, such as a product topic. The domain includes topics

Open-source MySQL efficient data warehouse solution: Infobright details, mysqlinfobright

Open-source MySQL efficient data warehouse solution: Infobright details, mysqlinfobright Infobright is a column-based database based on unique patented knowledge grid technology. Infobright is an open-source MySQL Data Warehouse solution that introduces the column storage solution, high-strength

FOCUSBI: Data Warehouse (original)

Follow the public number: Focusbi See more articles; Add QQ Group: 808774277 Get learning materials and explore issues together.  Business Intelligence Tutorial PDFLink: https://pan.baidu.com/s/1f9VdZUXztwylkOdFLbcmWw Password: 2r4vData Warehouse is the core of decision support system, it is the decision-making process for all levels of enterprise, it provides the strategic, tactical and operational collection of all kinds of

Bank of China Oracle Data Warehouse Solution

China's banking industry in the development process, has gradually accumulated a large number of customer data and operating data. How to use these data to discover valuable information is of general concern to China's banking industry today. The key to solve the problem is to set up the bank's enterprise-level data

The difference between a data warehouse and a database

Data Warehouse is a subject-oriented (Subject oriented), integrated (integrate), relatively stable (non-volatile), data collection that reflects historical changes (time Variant). Used to support management decisions.The so-called (1) topic-oriented: Index data in the warehouse

Concept of data warehouse-PHP Tutorial

Concept of data warehouse. With the intensification of market competition and the development of the information society, it is increasingly important to extract (retrieve, query, and so on) information from a large amount of data to develop market strategies. This requirement requires that, with the intensification of market competition and the development of th

Analysis of Data Warehouse equipment advantages and Limitations

With the advent of data warehousing equipment (Warehouse appliance), the potential of business intelligence and advanced analytics applications has been stimulated, and many enterprises will use the advantages of data warehousing technology to enhance their competitiveness. But not to say that integration equipment is omnipotent, it also has many limitations, acc

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 Data

Experts interpret Microsoft Parallel Data Warehouse

Microsoft's Parallel Data Warehouse (Parallel data Warehouse, abbreviated PDW) was released last year with SQL Server 2008 R2, designed to compete with Oracle Exadata and Teradata. PDW a true sense of the ability to mix workloads, users can extend data from multiple physical

Hierarchical Manager Solution for Oracle Data Warehouse

Abstract: This article describes the principles, steps, and restrictions of the hierarchical manager, and combines it with Oracle Data warehouse to achieve effective storage, management, and quick browsing of large-scale data. Quick viewing of metadata in the keyword layered Manager    Preface The 21st century is the century of information, and the competition

Brief summary of Data Warehouse vs Database

This article briefly summarizes the following two questions aimed at a quick understanding of the "Data Warehouse"1. What is a "Data Warehouse"?2. What is the difference between "Data Warehouse" and "database"?Here is a detailed e

Concept of data warehouse _ MySQL

insufficient data access capabilities, its access performance to a large amount of data is significantly reduced. With the maturity of C/S technology and the development of parallel databases, the development trend of information processing technology is from a large number The transaction database extracts data and clears and converts it to a new storage fo

The concept of a data warehouse

. With the development and refinement of this process, the special data that supports decision making Storage is called a data Warehouse (Warehouse, DW). W. H. Inmon The Data Warehouse is defined as a

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