nosql data warehouse

Label:1. Relational databaseRepository for permanent data storagePHP variables are only temporary storage space "use memory space" to save variables during PHP script execution.Relational database: Use the relationship between the two to describe the entity information. "Using two-dimensional table field names and fields values to describe""Relational databases are not meant to use foreign keys to construct two tables as associations, but rather to im

The Kimball of Master Ralph: The Inmon of Bill master 1. Brief introduction The architecture design of BI system is the core of Data Warehouse architecture design. In the field of Data Warehouse architecture, there are two schools of theoretical knowledge, which were presented by two Masters Ralph Kimballbill Inmo

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

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

Label:"NoSQL essence" Reading notes, reproduced please indicate the source "Jiq Technical Blog" Anosql data model The data model of a relational database is "relational" and "tuple", a relationship corresponds to a table, and a tuple corresponds to a row, where the tuple consists of a series of values and cannot be nested. The biggest shift in

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.

NoSQL Database: consistent data reading strong consistency access to any node in the cluster at any time, and the data results are consistent. consistent user consistency is consistent with the data obtained during cluster access for the same user; solve user consistency: Use a sticky session to bind the session to a s

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

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

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

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

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