Sairam Yeturi
Principal Product Manager, Microsoft
Bengaluru, India
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Sairam leads the streaming product management for Azure HDInsight and owns the key open-source streaming projects such as Kafka and Flink. He has been focused on building products focused on analytics, machine learning, computer vision, real time stream processing, and artificial intelligence over the last several years. He brings rich experience in solution space of analytics, product management and industry expertise on large scale product development alongside imparting design thinking practices.
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Real-time streaming with Azure HDInsight on AKS for Generative AI
Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. This dynamic integration of streaming data enables generative AI applications to respond promptly to changing conditions, improving their adaptability and overall performance in various tasks.
Riding the Streams: Powering Stateful Stream Processing with Apache Flink on Azure
Apache Flink is designed for large-scale real-time data processing and stateful stream processing. In this session we will describe how we knit Flink on Azure as an established platform on azure kubernetes services and tied together storage, security, azure monitoring, data explorer and how we built grounds up a platform to deploy and configure which helps customers to adopt flink at large scale on azure ecosystem. The foray of lake houses become more robust with streaming FileSink expanding to ABFS (Azure Blob Filesystem) and unlocks several opportunities in Azure ecosystem. We will also describe our learnings with Flink Kubernetes operator and job management, which makes customer journeys seamless. We will also cover the roadmap ahead for Flink on Azure.
Squirrelling on Azure with Flink & Kubernetes
Apache Flink is designed for large-scale real-time data processing and stateful stream processing. In this session we will describe how we knit Flink on Azure as an established platform on azure kubernetes services and tied together storage, security, azure monitoring, data explorer and how we built grounds up a platform to deploy and configure which helps customers to adopt flink at large scale on azure ecosystem. The foray of lake houses become more robust with streaming FileSink expanding to ABFS (Azure Blob Filesystem) and unlocks several opportunities in Azure ecosystem. We will also describe our learnings with Flink Kubernetes operator and job management, which makes customer journeys seamless. We will also cover the roadmap ahead for Flink on Azure.
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Sairam Yeturi
Principal Product Manager, Microsoft
Bengaluru, India
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