etl example

information at different levels is in each level. The following table is a simplified example of an entity-level ETL data mapping table. Each "X" in the table represents a link to the operation details or the lower-level data map document. Table 1. ETL Entity Mapping table Source Verify Clean Transformation Integration Gathered

ETL is an important part of Bi. Let's take a look at the definition in wiki: ETL is the abbreviation of extract-transform-load. It is the process of data extraction, conversion, and loading for filling and updating data warehouses. This is the data collection step before realizing business intelligence. After this step is completed, you can mine and analyze the data in the database. For

error data. (4) Scheduling Scheduling is required when incremental updates are made to the data warehouse, that is, incremental update is performed on the fact table. Before using scheduling, consider the actual data volume and determine how long it will take to update. For example, if you want to view data by day, we 'd better extract data by day. If the data volume is small, you can update the data by month or half a year. If the dimension chan

a number of fields in the string Replace with 0, filter out non-date strings for a date field, and so on; 3. Standardize the format of data, for example, to format all dates into YYYY-MM-DD format, etc.; 4. Data transcoding; A field encoded in a source data is converted into a value that represents its true meaning, through an associative encoding table; 5. Data standards, unity; For example, there are man

, bulk, and relational database-specific bulk loading tools or APIs. In most cases, the first method is used because they are logged and recoverable. However, bulk load operations are easy to use and are more efficient when loading large amounts of data. Which data load method to use depends on the needs of the business system.Common Data quality issues Data quality Problem Data Problem Example Format Does th

definition is implemented as follows:[Interface ("Icollumdatatransformer","Data Converters", Searchstrategy.foldersearch)] Public Interfaceicollumdatatransformer:icollumprocess {stringNewcollumname {Get;Set; } Simpledatatype Targetdatatype {Get;Set; } ObservableCollectionGet;Set; } ObjectTransformdata (ifreedocument datas); IEnumerablestring> affectedcollums {Get; } }It's complicated to look at, but it's actually converting some columns in the document to some other columns. For

Introduction: Etl,extraction-transformation-loading's abbreviation, the process of data extraction (Extract), Transformation (Transform), loading (load), is an important part of building a data warehouse.Keywords: ETL Data Warehouse OLTP OLAPThe etl,extraction-transformation-loading abbreviation, the process of data extraction (Extract), Transformation (Transform

1. Trigger modeThe trigger mode is an incremental extraction mechanism commonly adopted. The method is based on the extraction requirements, on the source table to be extracted to insert, modify, delete 3 triggers, whenever the data in the source table changes, the corresponding trigger will change the data to a Delta log table, ETL incremental extraction is from the Delta Log table instead of directly in the source table to extract data, At the same

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

The main indexes of this article series are as follows:First, ETL sharp weapon Kettle Practical Application Analysis Series one "Kettle Use introduction"Second, ETL sharp weapon Kettle Practical Application Analysis Series two "application Scenarios and actual combat demo Download"Three, ETL sharp weapon Kettle Practical Application Analysis Series three "

://s3.51cto.com/wyfs02/M00/79/31/wKioL1aLYZiDkN1dAACKrkV91fQ600.png "title=" Picture 7.png "alt=" Wkiol1alyzidkn1daackrkv91fq600.png "/>Insert Update:In the example, the ID and name fields in the database tables are queried, and the data used in the original database table is filtered out by comparing the IDs. In this way, only the latest changes in the data can be inserted, greatly improving the efficiency of data conversion. 650) this.width=650; "s

can be used for control. 6. team collaborationETL accounts for 50%-70% of the workload of the entire data warehouse. Therefore, team collaboration must be better. ETL includes E, T, and l as well as log control, data model, original data verification, and data quality. For example, if we want to integrate the data of an enterprise in the Asia Pacific region, but each country has its own data source, some a

Maximum user password Oracle General User Name Oracle General user Password Oracle ETL Host: Name More information Machine name Etl_srv1 Machine IP 192.168.0.121 Highest user name Root Maximum user password Etl General Use

Customer Perspective: Oracle ETL Tool ODIData integration has become the enterprise in the pursuit of market share of the key technology components, and rely on manual coding in different ways, more and more enterprises choose a complete data integration solution to support its IT strategy, from big data analysis to cloud platform integration.A recent study by Dao Research compares the differences between several of the world's leading data integratio

This document describes the ETL testing process and general project conditions to describe the ETL testing method. ETL test Flowchart Test phase 1,Requirement Analysis Familiar with business processes and business rules, analyze the ing relationship between the source table and the target table as required, and parse the business data flow diagram: 1,Test Ana

Original link Address: http://www.transwarp.cn/news/detail?id=173 ETL is an important link in building data Warehouse. Through this process the user extracts the required data and imports the data warehouse according to the defined model. Because ETL is the necessary process of building data Warehouse, its efficiency will affect the construction of the whole data warehouse, so its effective tuning is of hig

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 of data according to the unified Rules , is re

Label:Data integration has become the enterprise in the pursuit of market share of the key technology components, and rely on manual coding in different ways, more and more enterprises choose a complete data integration solution to support its IT strategy, from big data analysis to cloud platform integration.A recent study by Dao Research compares the differences between several of the world's leading data integration solutions and the impact of these product technologies on the real business. T

The main indexes of this article series are as follows: First, ETL sharp weapon Kettle Practical Application Analysis Series one "Kettle Use introduction" Second, ETL sharp weapon Kettle Practical Application Analysis Series two "application Scenarios and actual combat demo Download" Three, ETL sharp weapon Kettle Practical Application Analysis Series three "

inconsistent data conversion, data granularity conversion, and calculation of some business rules. A. inconsistent data conversion. This process is an integrated process that unifies the data of the same type in different business systems. For example, the Code of the settlement system of the same supplier is xx0001, in CRM, the encoding is yy0001, which is converted into an encoding after extraction. B. Data granularity conversion. business syste