Apatar Data Integration/ETL版本: BI商业智能工具 授权协议: 开发语言: 操作系统: 项目首页 项目文档 项目下载 0 Apatar是一个开源的数据抽取、转换、 装载(ETL)项目。模块化的架构。提供可视化的Job设计器与映射工具,支持所有主流数据源,提供灵活的部署选项(GUI,Server Engine或embedded)。 相关项目 Apatar...
ETL stands for extract, transform, and load , one type of process used for data integration. Each of the three steps is distinct and can be complicated. But they are interrelated and come together into a complete process to deliver a unified set of data. Here is how the steps work: Extr...
ETL (Extract, Transform, Load) is a crucial data integration process combining disparate sources of data into a unified, consistent destination. This consolidated data then serves as the foundation for data warehousing, analysis, and business intelligence initiatives. The ETL Process: Load: The transf...
软件即服务(Saas)是一种交付和许可模式,许可应用程序提供,但软件和数据位于软件供应商控制的数据中心,而不是获得许可组织的数据中心。 数据即服务(Daas)的一个定义是从供应商获得许可并按需由供应商提供数据,而不是存储和维护在被许可组织数据中心的数据。 云化集成(IPaas) 数据交换标准 数据交换标准是数据元素结构...
一、Data Integration(Kettle) 是基于java开发的一款软件,首先必须安装JDK。 1.下载JDK安装包,下载地址:http://www.oracle.com/technetwork/java/javase/downloads/index.html 点击下载按钮进入下载界面 ,根据系统选择相应的版本下载。 2.下载后安装JDK,安装过程中可以自定义安装目录等信息,例如我们选择安装目录为 C...
ETL allows for more control over the transformation process, which may be important in cases where security and compliance are a concern. Basic Techniques for Data Integration Using SQL Extracting Data from Multiple Sources To extract data from a table in a relational database, you can use a‘...
As part of data analytics in organizations, data integration involves merging data from different sources. There are several ways to combine data to create an integrated perspective. The Extract, Transform and Load (ETL) process is involved in this study to illustrate the many phases required in ...
1. ETL (Extract, Transform, Load) ETL is a traditional data integration method widely used for batch processing. In this approach, data is first extracted from multiple sources, transformed into a consistent format, and then loaded into a central repository like a data warehouse. ETL is particu...
Typically, the ETL data integration process is automated during off hours when databases, data warehouses, and other tools, such as CRM, are not in active use and traffic is at its lowest point. The ETL data integration process forms the backbone of data analytics and Machine Learning tools....
Defining ETL Data Processes in Data Integration ETL is a widely used data integration technique that involves three core elements: Extract, Transform, and Load. Extract: Data is extracted from various sources, including databases, files, APIs, and data streams. Data extraction typically involves conn...