Danny Cranmer
Amazon
I am a Principal Engineer at Amazon AWS working on the Managed Service for Apache Flink. We provide a serverless, fully managed service for Apache Flink jobs. I also enjoy contributing to open source projects and am an Apache Flink PMC member
In this brisk and dynamic presentation, we'll cut to the chase on why Apache Flink deserves a prime spot in your data processing toolkit. Get ready for a whirlwind tour of the key reasons why Flink stands out, offering speed, scalability, and versatility that can elevate your data processing game.
We'll kick things off by highlighting Flink's lightning-fast processing capabilities, showcasing how it outpaces the competition in real-time data streaming scenarios. From low-latency to high-throughput, Flink excels, making it the go-to choice for applications where speed is non-negotiable.
Scalability is the name of the game, and Flink plays it well. Discover how Flink's architecture effortlessly scales horizontally, ensuring your system can handle growing data volumes with ease. No more bottlenecks—just smooth, linear scaling for your evolving needs.
Get ready to be convinced in record time – join us for a rapid-fire session on why Apache Flink should be your top choice for data processing, and how it can supercharge your projects with speed, scalability, and versatility.
More We'll kick things off by highlighting Flink's lightning-fast processing capabilities, showcasing how it outpaces the competition in real-time data streaming scenarios. From low-latency to high-throughput, Flink excels, making it the go-to choice for applications where speed is non-negotiable.
Scalability is the name of the game, and Flink plays it well. Discover how Flink's architecture effortlessly scales horizontally, ensuring your system can handle growing data volumes with ease. No more bottlenecks—just smooth, linear scaling for your evolving needs.
Get ready to be convinced in record time – join us for a rapid-fire session on why Apache Flink should be your top choice for data processing, and how it can supercharge your projects with speed, scalability, and versatility.
Apache Flink is a hot stream processing framework that is dominating the real time data space. But, how does it actually work? Uncover the mysteries of Apache Flink in this immersive journey through its core components. From jobs and execution graphs to operators and subtasks, we'll demystify the framework's workings, empowering you to transform code into tangible business value.
Through intuitive block diagrams seamlessly tied to the codebase, we'll visit Flink's internals. Attendees will gain a comprehensive understanding of how to convert a SQL query into a fully operational Flink application, sending data to Kafka in real-time.
This talk is tailored for developers seeking to enhance their proficiency in Apache Flink. Whether you're a novice or an experienced user, you will leave with actionable insights and newfound confidence in navigating the Flink codebase. Join us to decode the secrets of Apache Flink and unlock the potential of real-time data processing in your applications.
More Through intuitive block diagrams seamlessly tied to the codebase, we'll visit Flink's internals. Attendees will gain a comprehensive understanding of how to convert a SQL query into a fully operational Flink application, sending data to Kafka in real-time.
This talk is tailored for developers seeking to enhance their proficiency in Apache Flink. Whether you're a novice or an experienced user, you will leave with actionable insights and newfound confidence in navigating the Flink codebase. Join us to decode the secrets of Apache Flink and unlock the potential of real-time data processing in your applications.
Join us as we explore the world of Flink connectors, essential components for building robust data integration pipelines. This talk will provide a high-level overview of Flink's connector ecosystem; enabling you to start extracting business value from your data. We will dive into the functionalities of Flink's source/sink APIs, discussing how they enable seamless extraction and ingestion of data from external systems. Best practices for developing connectors will be shared, covering important aspects such as robustness, scalability, and maintainability.
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