etl wikipedia

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

ETL is responsible for the scattered, heterogeneous data sources such as relational data, flat data files, such as the extraction of the temporary middle layer after the cleaning, transformation, integration, and finally loaded into the data warehouse or data mart, as the basis for online analysis processing, data mining. The term ETL often appears in the Data warehouse, but its object is not confined to th

During the three-day holiday on May Day, some ETL logic problems occurred, resulting in the daily incremental data to be loaded into DW is not loaded as designed. Therefore, you need to check the generated incremental data after ETL to avoid the problem of passive processing when the incremental data is lost one day. Requirement: if there is a problem with the incremental data of

What does the ETL data conversion system bring to customers?With the development of society and computer technology, people began to reprocess the data in the original database to form a comprehensive and analysis-oriented environment to support the emergence of scientific decision-making. As a result, the ideas, technologies, and products of data warehouses are gradually formed. The purpose of building a data warehouse is to establish a systematic da

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

There are already several articles for IEnumerable, this article describes how to use IEnumerable to implement ETL. ETL, an abbreviation of English extract-transform-load, is used to describe the process of extracting data from the source (Extract), transpose (Transform), loading (load) to the destination. Typically, the data collected from the original end has many problems, and the business requirements m

Lesson 1st: create a simple ETL package, create a package for extracting data from a single flat file source, and then convert the data using the search conversion function, finally, load the data to the factcurrency fact data table of the adventureworksdw sample database. However, a single flat file is rarely used in the extract, transform, and load (ETL) process. A typical

ETLIs the abbreviation of extract-transform-load. It is used to describe the process from the source end to extract (extract), transpose (Transform), load (load) to the target end.ETLThe term is commonly used in data warehouses, but its objects are not limited to data warehouses. Directory[Hide] 1 ETL and ELT 2 tools 3. See 4. External Connection [Edit] ETL and

ETL is a process of extracting, cleaning, and transforming data from a business system and loading it into a data warehouse. It aims to integrate scattered, disorderly, and standardized data in an enterprise, providing analysis basis for enterprise decision-makingETLYesBiThe most important part of a project, usuallyETLIt takes 1/3 of the total project time,ETLThe quality of the design depends on the success or failure of the Bi project.ETLIt is also a

1, the definition of ETLETL is "Extract"," Transform","Load" the initials of three words namely "extract "," Conversion "," Loading ", but we are often referred to as the daily data extraction. 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 responsible for the completion of data from the data source to the target data Warehouse conversion proces

required to handle the second type of modification Mini Dimension (minidimension): Extract a few fields from a common large dimension to form a small field dimension that can be used in a query with a field in a mini dimension This design significantly improves query efficiency type of fact: Granularity fact table (additive Fact) Cycle Snapshot fact table (semi-additive Fact) Aggregation Snapshot fact table (non-additive Fact) Non-factual fact table (factless Fact table) Granularity fact table

Microsoft integration services is a platform that can generate high-performance data integration solutions, including extracting, transforming, and loading (ETL) packages for data warehouses. Integration Services includes graphical tools and wizard used to generate and adjust packages; tasks used to execute workflow functions (such as FTP operations), execute SQL statements, and send emails; the data sources and targets used to extract and load data.

For everything, supervision is an effective way to improve itself, as is BI. In my personal experience, BI supervision can be divided into two types (Welcome to the discussion ):Runtime supervision(Runtime Monitoring)AndMonitoring of data warehouse health status(DW Healthy Monitoring):1. Runtime supervisionThe so-called runtime supervision refers to the process of monitoring data from the data source to the data warehouse. In general, it is to supervise the