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Pentaho Data Integration (ETL) a.k.a Kettle - 开源数据集成平台
Pentaho Data Integration (PDI), also known as Kettle, is a leading open-source ETL platform designed to simplify the extraction, transformation, and loading of data from various sources into data warehouses and applications. It offers a rich graphical environment for creating complex data pipelines without extensive coding, enabling data professionals and business users to integrate, cleanse, and enrich data efficiently.
Java
Added on 2025年5月8日7,991
Stars3,518
ForksJava
LanguageProject Introduction
Summary
Pentaho Data Integration (PDI), or Kettle, is a powerful open-source platform for Extract, Transform, and Load (ETL) processes. It simplifies the creation and execution of data pipelines through an intuitive graphical user interface, enabling users to connect to diverse data sources, perform complex data manipulations, and load data into various destinations. It is a cornerstone tool for data warehousing, business intelligence, and data migration projects.
Problem Solved
Organizations face challenges in integrating data from disparate systems, transforming it into a usable format, and loading it reliably into target systems like data warehouses, reporting databases, or other applications. Manual scripting for these tasks is time-consuming, difficult to maintain, and error-prone. PDI solves this by providing a visual, maintainable, and scalable platform for designing and executing these complex data integration workflows.
Core Features
Visual Design Environment (Spoon)
Design, develop, and debug ETL jobs and transformations using a drag-and-drop graphical interface, eliminating the need for manual coding in many cases.
Extensive Connectivity Options
Connect to a vast array of data sources and targets including databases, flat files, cloud storage, big data platforms, and various applications via a wide range of steps and connectors.
Rich Set of Transformation Steps
Utilize hundreds of pre-built transformation steps for data filtering, sorting, joining, aggregation, cleansing, and enrichment.
Scalable and Performant Execution
Execute transformations and jobs in parallel, distribute workloads, and scale processing across multiple machines or clusters for improved performance on large datasets.
Job Orchestration and Scheduling
Define and manage job scheduling, monitoring, and logging through the PDI repository and integrated tools.
Tech Stack
Java
Swing (for Spoon GUI)
various Database Drivers (JDBC)
XML (for job/transformation storage)
various connectivity libraries (e.g., for cloud, big data)
使用场景
Pentaho Data Integration is a versatile tool applicable across numerous industries and technical scenarios requiring data movement and transformation:
场景一：构建和维护数据仓库
Details
Extracting data from transactional systems (OLTP), transforming it (e.g., cleaning, aggregating, conforming dimensions), and loading it into a data warehouse or data mart for reporting and analysis.
User Value
Centralize data for consistent reporting and historical analysis, improve decision-making based on integrated data.
场景二：数据迁移和同步
Details
Moving data between different database systems, cloud storage, or file formats as part of system upgrades, consolidations, or cloud migrations.
User Value
Streamline the process of migrating large volumes of data with validation and transformation capabilities, ensuring data consistency across systems.
场景三：数据集成与主数据管理
Details
Implementing master data management (MDM) by integrating data from various sources to create a single, trusted view of critical business entities (e.g., customers, products).
User Value
Establish a single source of truth for business data, improve data quality and reliability across the organization.
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