Apache Tez is an open-source framework for building complex data processing workflows on Hadoop, enabling efficient and flexible data pipelines.
Streamline big data processing workflows
Apache Tez is an open-source project designed to help you create complex data processing workflows on top of Hadoop. It provides a framework for building data pipelines using directed acyclic graphs (DAGs), allowing you to manage and optimize large-scale data processing tasks with flexibility and efficiency.
If you're working with big data and want to go beyond traditional batch processing, Tez offers the tools and documentation you need to get started. Its integration with Hadoop YARN means you can take advantage of existing infrastructure, while the project's guides, community links, and user interface help you develop, monitor, and manage your data workflows more easily.
Whether you're a developer, data engineer, or part of a team managing large datasets, Apache Tez gives you the building blocks to design scalable and customizable data processing applications.
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