msc warehouse

Docker image, container, warehouse concept Docker mirroring Docker mirroring (image) is similar to a virtual machine image, and can be interpreted as a read-only template for the Docker engine, including a file system. For example, a mirror can fully contain the Ubuntu operating system environment, which can be called an Ubuntu mirror. Mirroring can also be installed with an Apache application (or other software) that can be referred to as an Apach

Application background China Unicom has a national scale of public telecommunications network, operating a variety of basic telecommunications business and value-added telecommunications services, the formation of mobile (GSM, CDMA), 193 long-distance, VoIP, 165 (Internet and E-commerce), paging, local calls, value-added services, such as a variety of business coexistence and common development pattern. How to give full play to Unicom's comprehensive advantages, to achieve flexible marketing st

product Dimension has a product family, a large class, and a small class of three attributes, which defines [ classify layer level, take advantage of these three properties directly, That is, each level is a property of a member. The other is between the dimension members, such as hr , each level is a specific dimension member, that is, each level is one or more dimension members, Each level contains multiple properties. The latter level is often persisted in the database in a recursive man

In the process of extracting data from an OLTP business database to a DW data warehouse, especially after the first import, the problem is that some data in the business database has been changed to reflect these changes to the Data warehouse. In the Data warehouse, which data should be changed, which can not be changed? With these changes in mind, the dimension

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 format, that is, the data is Aggregation in a special format. With the development and improvement of this process, such special data th

Building a real data warehouse in a data warehouse may be a huge project. There are many different devices, methods, and theories. What is the greatest common value? What are facts and what are theme related to these facts? And how do you mix, match, merge, and integrate systems that may have existed for decades with systems that were only implemented a few months ago? This is still in the big data and H Bu

We recommend that you read and understand the following articles: ◆ Use a partition in a Microsoft SQL Server 2000 data warehouse-http://msdn.microsoft.com/library/default.asp? URL =/library/techart/PartitionsInDW.htm◆ SQL Server 2000 step by step batch import case study-http://www.microsoft.com/technet/prodtechnol/ SQL /2000/maintain/incbulkload.mspx◆ Kimberly L. Tripp: SQL Server 2005 Partition Table and index-Http://www.sqlskills.com/resources/Whit

-makingStorage is called Data Warehouse (DW ).W. H. Inmon defines data warehouse as a topic-oriented and integrated data warehouse that supports management decision-making processes..A topic is the standard for data classification. Each topic corresponds to an objective analysis field, such as a customer or store.Assists decision-making in integrating a large amo

First, preliminary preparation: 1. Create SSH Key In the user's home directory, see if there is an. SSH directory, and if so, look at this directory there are no Id_rsa and id_rsa.pub these two files, if already have, can jump directly to the next step. If not, create SSH Key: Enter the home directory. SSH directory (~/), execute the following command:Ssh-keygen-t rsa-c "497049229@qq.com"The first prompt to enter the save file name can not be entered, it will be saved by default as Id_rsa.pu

Design | data End Users The end users are whom you are designing and building the Data Warehouse for? Your customers. They rely on the information They extract, the warehouse in order to work more effectively and efficiently. They also ultimately determine whether or not your Data Warehouse project met its stated goals. For these reasons, your project must is bu

. 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 data warehouse that supports the management decision process, the theme-oriented, integrated , stable, different time

Introduction With the rapid development of China's financial industry, it is an urgent problem for the bank to support the decision analysis by classifying and storing the customer data, analyzing the automatic discriminant of the various factors, and digging out the information needed by the bank managers and the business analyst in the presence of a large amount of data. Data inconsistency, external data, and unstructured data problems are difficult to resolve because the real situation of th

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 servers with a familiar SQL Server database engine. Parallel Data Warehouse is not a sof

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. First, data extraction: It can be understood that data from the source data is pumped into the ODS or DW. 1. Source Data type: relational databases, such as oracle,mysql,sqlserver,

[CSDN report] Some time ago, an article was published on Gigaom: whatunbelievablenewservicesdoesAmazonhaveontap? Now we know at least one of them, Amazon's incredible new service, Redshift data warehouse service, points to Oracle, IBM, and Teradata. [CSDN report] Some time ago, an article on Gigaom was published: what unbelievable new services does Amazon have on tap? Now we know at least one of them, Amazon's incredible new service, Redshift data

intelligence can assist business decision-making, which can be either operational or tactical or strategic. To turn data into knowledge, you need to leverage technologies such as data warehousing, online analytical processing (OLAP) tools, and data mining. Therefore, from the technical level, business intelligence is not a new technology, it is only data warehousing, OLAP and data mining technology, such as the comprehensive use.The realization of business intelligence involves software, hardwa

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 data ware