In the era of big data, real-time analytics has become crucial for gaining actionable insights and staying ahead of the competition.
This talk aims to empower data professionals with the knowledge and tools to harness the full potential of Apache Pinot, Kafka, and Flink for high-performance real-time analytics.
We will delve into the seamless integration of batch and streaming data, demonstrating how to enrich your analytics capabilities by combining static datasets with real-time data streams.
Attendies will discover how to make decisions on processing data in Pinot versus Flink, balancing performance and resource utilization to achieve optimal results.
To cap it all off, a live demonstration will guide you through setting up end-to-end data pipelines and performing real-time analytics, bringing theory into practice. By the end of this session, you will be equipped with a comprehensive understanding of how to implement and leverage Apache Pinot, Kafka, and Flink to transform your data analytics approach.