dw etl

Label:DB, ETL, DW, OLAP, DM, BI relationship structure diagram Here are a few words about some of their concepts: (1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as f

DB, ETL, DW, OLAP, DM, BI relationship structure diagramHere are a few words about some of their concepts:(1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the p

Tags: commercial int ase NSF process form color number BottomHere are a few words about some of their concepts:(1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not appear in front of your eyes, this is a db.(2)

Label:Reprinted from: http://www.cnblogs.com/ycdx2001/p/4538750.html -------------- In the leader said the urine is not wet and the beer story, here see the original text. (1) db/database/Database --This refers to the OLTP database, the online things database, to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the

Label: DB-ETL-DW-OLAP-DM-BI Relationship Structure diagram Here are a few words about some of their concepts: (1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for

Label:DB, ETL, DW, OLAP, DM, BI relationship structure diagram Here are a few words about some of their concepts: (1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as

. The processing process is directly related to experience, at the same time, this part of work is directly related to the data quality in the data warehouse, thus affecting the quality of online analysis and processing and data mining results. A data warehouse is an independent data environment. You need to import data from the online transaction processing environment, external data sources, and offline data storage media to the Data Warehouse through the extraction process. Technically,

. This is the value of the data warehouse. So how can we get data into a data warehouse? One of the technologies used is ETL. The following is a detailed definition of ETL: As the core and soul of DW, ETL (Extract-Transform-Load) can be integrated according to unified rules and improve the value of data, it is respon

guaranteed to be about 1 minute, and the complexity of supporting data integration is low. Historical data cannot be saved. 2. EIi + static DW With EIi technology combined with non-real-time data warehouses, data delay can be guaranteed to be around 1 minute, and data integration within one day is less complex, data integration a day ago can be highly complex. You can save historical data. 3. ETL + static

The company has been involved in the development of Bi projects for a period of time, but it is only developed as needed. This afternoon, the company will train you on the knowledge of data warehouses, let's hear about the two to three hours, what

As a data warehouse system, ETL is a key link. If it is big, ETL is a data integration solution. If it is small, it is a tool for data dumping. Recall that there have been a lot of data migration and transformation operations over the past few years. However, the work is basically a one-time job or a small amount of data. You can use access, DTS, or compile a small program on your own. However, in the data

of application programs and technologies for gathering, storing, analyzing and providing access to data to help enterprise users make better business decisions. A dw is a collection of data designed to support management demo-making. according to Bill inmon, a DW is a "subject-oriented, integrated, time-variant, nonvolatile collection of data in support of demo-- making. "DWS tend to have these distinguis

transformation server.ETL design is divided into three parts: data extraction, data cleaning and transformation, data loading. In the design of ETL, we also start from these three parts. The extraction of data from various data sources to the ODS (Operationaldatastore, operational data storage)-This process can also do some data cleaning and conversion, in the process of extraction needs to select different extraction methods, as far as possible to i

ETL scheduling development (1) -- writing instructions, etl Scheduling Preface: During database operation and maintenance, files are often transferred between systems to perform operations such as data extraction, conversion, and integration. In addition, statistical scheduling is performed after data integration. Here, I will describe an ETL scheduling developed

ETL scheduling development (5) -- connect to the database to execute database command subroutines and etl Scheduling In ETL scheduling, you need to connect to the database to read and write data. The following subprograms use the input database connection string and database commands (or SQL) to perform the required operations: #!/usr/bin/bash#created by lubinsu

Tags: tar target manual format system Administrator tran complex data import convenience ETL is "Extract"," Transform","Load" Three words initials that is "extract ","convert " ," Loading ", but we are often referred to as data extraction for the day. ETL is the core and soul of BI/DW (Business intelligence/Data Warehouse), integrating and improving the value o

BI Architecture-bi Key Links ETL related knowledge Main function: Load the data of the source system into the Data Warehouse and data mart layer; The main problem is the complex source data environment, including a wide variety of data types, huge load data volumes, intricate data relationships, and uneven data quality common terminology etl: Data extraction, conversion, loading (extract/ Transform/l

. Data loading is usually done directly after the data has been cleaned and written to the DW (data warehousing, warehouse). ETL implementation has a variety of methods, commonly used there are three kinds. One is implemented using ETL tools such as Oracle's OWB, SQL Server 2000 DTS, SQL Server2005 SSIS Services, Informatic, and so on, one in SQL and the other wi

generally written directly to DW after data cleansing.There are multiple ETL implementation methods and three are commonly used. One is to implement ETL tools such as Oracle owb, SQL Server 2000 DTS, SQL server2005 SSIS service, and informatic, one is SQL, and the other is the combination of ETL tools and SQL. The fir

The main indexes of this series of articles are as follows: I. ETL Tool kettle Application Analysis Series I [Kettle Introduction] Ii. ETL Tool kettle Practical Application Analysis Series 2 [application scenarios and demo downloads] Iii. ETL Tool kettle Practical Application Analysis Series III [ETL background process