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 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
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,
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
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,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.
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
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
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
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
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
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. 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
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
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
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
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
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
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
. 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
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.