Showing 4 open source projects for "apache framework"

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  • 1
    Apache Hudi

    Apache Hudi

    Upserts, Deletes And Incremental Processing on Big Data

    Apache Hudi (pronounced Hoodie) stands for Hadoop Upserts Deletes and Incrementals. Hudi manages the storage of large analytical datasets on DFS (Cloud stores, HDFS or any Hadoop FileSystem compatible storage). Apache Hudi is a transactional data lake platform that brings database and data warehouse capabilities to the data lake. Hudi reimagines slow old-school batch data processing with a powerful new incremental processing framework for low latency minute-level analytics. ...
    Downloads: 3 This Week
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  • 2
    Apache DevLake

    Apache DevLake

    Apache DevLake is an open-source dev data platform

    Apache DevLake is an open-source dev data platform that ingests, analyzes, and visualizes the fragmented data from DevOps tools to extract insights for engineering excellence, developer experience, and community growth. Apache DevLake is designed for developer teams looking to make better sense of their development process and to bring a more data-driven approach to their own practices.
    Downloads: 3 This Week
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  • 3
    ChunJun

    ChunJun

    A data integration framework

    ChunJun is a distributed integration framework, and currently is based on Apache Flink. It was initially known as FlinkX and renamed ChunJun on February 22, 2022. It can realize data synchronization and calculation between various heterogeneous data sources. ChunJun has been deployed and running stably in thousands of companies so far. Based on the real-time computing engine--Flink, and supports JSON template and SQL script configuration tasks.
    Downloads: 0 This Week
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  • 4
    Pentaho Data Integration

    Pentaho Data Integration

    Pentaho Data Integration ( ETL ) a.k.a Kettle

    Pentaho Data Integration uses the Maven framework. Project distribution archive is produced under the assemblies module. Core implementation, database dialog, user interface, PDI engine, PDI engine extensions, PDI core plugins, and integration tests. Maven, version 3+, and Java JDK 1.8 are requisites. Use of the Pentaho checkstyle format (via mvn checkstyle:check and reviewing the report) and developing working Unit Tests helps to ensure that pull requests for bugs and improvements are...
    Downloads: 37 This Week
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