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Part of the core Hadoop project, YARN is the architectural center of Hadoop that allows multiple data processing engines such as interactive SQL, real-time streaming, data science and batch processing to handle data stored in a single platform, unlocking an entirely new approach to analytics. It is the foundation of the new generation of Hadoop and is enabling organizations everywhere to realize a modern data architecture.

YARN is the prerequisite for Enterprise Hadoop, providing resource management and a central platform to deliver consistent operations, security, and data governance tools across Hadoop clusters.

YARN also extends the power of Hadoop to incumbent and new technologies found within the data center so that they to can take advantage of cost effective, linear-scale storage and processing. It provides ISVs and developers a consistent framework for writing data access applications that run IN Hadoop.

YARN Applications Diagram

Hortonworks Focus for YARN

YARN is the central point of investment for Hortonworks within the Apache community. In fact, YARN was originally proposed (MR-279) and architected by one of our founders, Arun Murthy. Our engineers have been working within the Hadoop community to deliver and improve YARN for years. It has matured to become the solid, reliable architectural center of Hadoop and is a foundational component.

While relied upon by thousands, YARN can always be improved, especially with new engines emerging to interact with Hadoop data. To this end, Hortonworks has laid out the following investment themes for this foundational technology.

 

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