Apache Griffin Project, 0 is the latest release. Contribute to apache/griffin development by creating an account on GitHub. Dec 12, 2018 · Apache Griffin is a robust Open Source Big Data quality solution for distributed data systems at any scale. apache. The users mailing lists users@griffin. 6. Griffin was a data quality solution for big data, including both streaming and batch mode. Jan 10, 2018 · Project layout There are three modules in griffin measure : core algorithms for calculate metrics by different measure dimension. It provides a unified process to measure data quality from different perspectives, as well as building and validating trusted data assets in both streaming or batch contexts. Dec 12, 2018 · Wakefield, MA —12 December 2018— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today Apache® Griffin™ as a Top-Level Project (TLP). Apache Griffin - Big Data Quality Solution For Batch and Streaming Apr 10, 2019 · We look forward to other Apache developers and researchers to contribute to the project. Griffin supports a wide variety of data quality dimensions as accuracy,completeness,validity,timeliness,profiling. Apache Griffin - Big Data Quality Solution For Batch and Streaming Move the built apache griffin measure jar to your work path. Relationships with Other Apache Products Griffin has a strong relationship and dependency with Apache Hadoop, Apache HBase, Apache Spark, Apache Kafka and Apache Storm, Apache Hive. Then, create a job to process the measure . It offers an unified process to measure your data quality from different perspectives, helping you build trusted data assets, therefore boost your confidence for your business. org is the place where users of Apache Griffin ask questions and seek for help or advice. Version 0. Apache Griffin User Guide 1 Introduction & Access Apache Griffin is an open source Data Quality solution for distributed data systems at any scale in both streaming or batch data context. Apache Griffin is a model-driven data quality service platform where you can examine your data on-demand. Joining the user list and helping other users is a very good way to contribute to Apache Griffin’s community. 2 Procedures After you log into the system, you may follow the steps: First, create a new measure. It provides a standard process to define data quality measures, executions and reports, allowing those examinations across multiple data systems. You can verify your download by following these procedures and using these KEYS. Griffin is a open sourced data quality solution for distributed data systems at any scale in both streaming and batch data model. Users will primarily access this application from a PC. Apache® and the Apache logo are trademarks of The Apache Software Foundation. Mirror of Apache griffin . Move the built apache griffin measure jar to your work path. For simplicity, suppose both two topics’ data are json string which would be like this: Apache Griffin is a model-driven data quality service platform where you can examine your data on-demand. Griffin became a Top Level Project in November 2018, retired in September 2025 and the move to the Attic was completed in November 2025. Streaming Use Cases User Story Say we have two streaming data sets in different kafka topics (source, target), we need to know what is the data quality for target data set, based on source data set. Apache Griffin is an open source Data Quality solution for Big Data, which supports both batch and streaming mode. 4f9qs, 3yful, gdrkp, ldg2, nzay, ldofb, qmf8gx, m6zd, new5p, 5nv7v,