Streaming data is everywhere. IoT, high tech manufacturing, national security, smart cities, web log analysis, systems telemetry, AI and ML workflows, and a myriad of other modern use cases are driving this trend skyward.
Archive for the ‘Apache Flink’ Category
While Twitter and WordCount are probably two of the most common ways to get started with streaming data, there’s good reason (for Twitter at least) – it’s a fun way to work on actual real-time, unbounded streams of interesting data. In this post, I’m going to explore some techniques to normalize, window, and introspect the […]
Apache Flink offers two simple API’s for accessing streaming data with declarative semantics – The table and SQL API’s. In this post we dive in an build a simple processor in Java using these relatively new API’s.
With the addition of Apache Flink – Eventador.io has a true end-to-end enterprise grade stream processing platform. We run the complex infrastructure and provide support, you can focus on your streaming code.
One of the omnipresent challenges of building a product from scratch is you don’t initially know exactly how customers will want to use it. You build the product you would want to use and are passionate about, however, you must also listen to customers as you evolve your product to deliver exactly what they really […]
Since we first opened the doors at Eventador.io, customers have been building applications that make use of Apache Kafka for a wide variety of streaming data use cases. Over time, it became clear we were only solving for one part of the complete picture. With Kafka, our service had the data transport, durability, and scalability, […]