pache Pinot™ is a real-time distributed online analytical processing (OLAP) datastore. Use Pinot to ingest and immediately query data from streaming or batch data sources (including, Apache Kafka, Amazon Kinesis, Hadoop HDFS, Amazon S3, Azure ADLS, and Google Cloud Storage).
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project2026-02-01
The article discusses Spotify's innovative multi-agent architecture designed to enhance its advertising platform. By addressing the fragmented decision-making processes across various advertising channels, the architecture aims to unify workflows and optimize campaign management through specialized AI agents. This approach allows for more efficient budget allocation, audience targeting, and overall campaign performance, leveraging historical data and machine learning. The article highlights the importance of a programmable decision layer and the challenges faced in implementing this system.
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tech22023-11-06
The article discusses Uber's implementation of zone failure resilience (ZFR) in Apache Pinot, a real-time analytics platform. It details the strategies used to ensure that Pinot can withstand zone failures without impacting queries or data ingestion. By leveraging instance assignment capabilities and integrating with Uber's isolation groups, the article outlines how they achieved a robust deployment model that enhances operational efficiency and reliability. The migration process for existing clusters to this new setup is also highlighted, showcasing the challenges and solutions involved.
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