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more users get the data block, the more obvious the wait. This is the problem of hot and fast. This heat may be a block of data, or it may be a rollback end block. For the data block, usually the data distribution of the database is uneven, if it is an index of data blocks, you can consider creating a reverse so as to achieve the purpose of redistribution of data, for the rollback segment data block, you can add a few rollback segment appropriate to avoid this contention. What is OLAP OLAP, a
Original address I. Definition of metadata According to the traditional definition, metadata (Metadata) is data about data. In the Data warehouse system, metadata can help data warehouse administrators and developers of data warehouses to easily find the data they care about; metadata is the data that describes the structure and methods of data in a data warehouse
In general, two monitored operational components in a data warehouse environment are the use of data and data stored in the Data warehouse. Monitoring data in a data warehouse environment is the basic ability to manage a data warehouse environment. Some important information can be obtained by monitoring data in a data
Basic concepts: 1. Multi-dimensional dataset: a multi-dimensional dataset is the main object in Online Analytical Processing (OLAP) and a technology that allows quick access to data in a data warehouse. A multi-dimensional dataset is a collection of data. It is usually constructed from a subset of a data warehouse, and is organized and aggregated into a multi-dimensional structure defined by a set of dimen
This article discusses two common methods in data warehouse model design. In the application environment of data warehouses, there are two types of load: one is to answer repetitive questions, and the other is to answer interactive questions. Dynamic query has obvious interactive features. This interaction process is often called data mining or knowledge exploration. Features of the Data Warehouse Model
server|sqlserver| data The construction and analysis of SQL Server Data Warehouse (i) Basic concepts: 1. Cubes: Cubes are the primary object in online analytical processing (OLAP) and are a technology that allows fast access to data in a data warehouse. A cube is a collection of data, typically constructed from a subset of the Data Warehouse, an
Instance construction process and analysis 1Now we will analyze and discuss it with a simple example.Ms SQL ServerData warehouse construction process. In fact, the construction of the Data Warehouse is quite complex. It combines the front-end technology of the data warehouse with strong business requirements. Here is just a simple example to illustrate his gene
Summary of articles on Data Warehouse My data warehouse path! A series of articles on Data Warehouse dimension Processing1. series of methods to explore Data Warehouse-Dimension Data Processing -- Dimension Overview 2. series of methods to explore Data Warehouse-Di
MAVEN Warehouse Classificationmaven Warehouse is divided into: local warehouse + Remote Warehouse two major categoriesRemote Warehouse is divided into: Central warehouse + Other public Remote Storage 1, in Maven, any dependency, p
Concept | Data 1. What is a data warehouse The definition of the Data warehouse is given in the book "Building the Data Warehouse" by W.h.inmon, "a data structure that is subject-oriented, integrated, stable, and time-varying in data collection to support management decisions." ", said the popular point: The Data Warehouse
Data ZT: A brief explanation of common nouns in data Warehouse Data Warehouse in the middle of the 80 's, Mr. William H.inmon, the "Father of the warehouse", defined the concept of data warehousing in his book "Building Data Warehouses," and then gave a more precise definition: Data warehousing is a topic-oriented, integrated, A data collection that is related
IBM DB2 Data Warehouse Edition is a set of products that combine the strengths of DB2 Data servers and the robust business intelligence infrastructure from IBM. DB2 DWE integrates Core Components for warehouse management, data conversion, data mining, and OLAP analysis and reporting. In this article, we focus on the OLAP Service provided by DB2 DWE. What is OLAP? On-Line Analytical ProcessingOLAP) is a type
Data Warehouse is a comprehensive technology and solution based on data management and application. The successful implementation of data warehouses has a significant impact on the cultivation of a culture of knowledge sharing. Currently, the data warehouse-based decision support system is mainly used in banking and securities industries. With the intensification of global competition, more and more
Warehouses are divided into different areas, such as the receiving area, the shipping area, the inventory area, these areas in Odoo called "Location", the location can be nested up and down, forming a tree-like hierarchical relationship.Location is divided into different types Physical inventory location "physical stock locations", that is, internal locations Partner locations (suppliers and customers) "Partner locations (suppliers and customers)" Virtual location "Vsan location
[Description] Ack is a high-tech enterprise mainly engaged in computer production and its peripheral products. Not only is ack a leading product in China, but its warehouse design is also unique. Due to the diversity of production products, the ACK warehouse is composed of several sub-warehouses of varying sizes and shapes. Each Warehouse has an entrance (also an
predicate is satisfied.Often we also need to connect workflow operations with timed runs, but with different intervals. The output of multiple subsequently running workflows becomes the input for the next workflow. Connecting these workflows together allows the system to refer to it as a conduit for data application. The Oozie Coordinator supports the creation of such a data application pipeline.(4) The Oozie in CDH 5.7.0In CDH 5.7.0, the Oozie version is 4.1.0, and the metadata store uses MySQ
Just a few days ago, a user participated in a job interview for an enterprise. He applied for the DBA of the company and was responsible for data analysis. This company successfully completed the process. Until the person in charge of the company. The owner only gave him an interview question: Let's talk about the differences between the database and the data warehouse you understand. This public suddenly dumbfounded. As far as technology is concerned
From: http://shine-it.net/index.php/topic,4178.0.html There are two kinds of raw material procurement situations: one is to first receive the goods and pay according to the actual amount of goods received; the other is to pay first, and the other party then delivers the goods. For domestic suppliers, the former is usually used for processing, but some imported raw materials, the other party will require first payment, or partial prepayment, the other party will ship. The two cases have differen
According to the Informix Data Warehouse System implementation methodology, we can divide the data warehouse implementation into the following steps: 1. Business Demand Analysis Business Requirement analysis is the basis for data warehouse construction. It is necessary to fully communicate with users, understand the real needs of users, avoid misunderstanding, an
The Nexus deployment Maven repository has been introduced today to talk about releasing jars (projects) to the MAVEN.This requirement is because the Web project uses the MAVEN library is a third-party, and the three-party this library is not stable (such as the version of the update, network interruption), although a library agent to download the index, but one day this third-party library services suddenly closed, and then the tragedy ...This kind of tragedy has happened in my team, probably no
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