Figuring out how to manage and model temporal data for effective point-in-time analysis was a longstanding battle, dating as far back as the early 80’s, that culminated with the introduction of temporal tables in the SQL standard in 2011. Up to...
Flink and Prometheus: Cloud-native monitoring of streaming applications
What are the benefits of stream processing with Apache Flink for modern application development?
This blog post is a Q&A session with Vino Yang, Senior Engineer at Tencent’s Big Data team. Below, we discuss the benefits of adopting stream processing and Apache Flink for modern application development.
Flink Forward Session Preview: Elastic Data Processing with Apache Flink and Apache Pulsar
Excited for Flink Forward San Francisco 2019? As one of the 30+ conference speakers, I want to give a sneak preview of my upcoming Flink Forward talk: Elastic Data Processing with Apache Flink and Apache Pulsar.
Batch as a Special Case of Streaming and Alibaba's contribution of Blink
3 important performance factors for stateful functions and operators in Flink
This post focuses on the 3 factors developers should keep in mind when assessing the performance of a function or operator that uses Flink’s Keyed State in a stateful streaming application.
Smart Systems IoT Use Case with open source Kafka, Flink & CrateDB
The Smart Systems IoT Use Case
IoT systems use data and artificial intelligence (AI) to monitor, control, or predict the behavior of internet-connected devices. They are the basis for new smart factories, smart cities, and smart vehicle fleets...
MATCH_RECOGNIZE: where Flink SQL and Complex Event Processing meet.
With the unavoidable and ever-growing presence of sensors and smart devices, Complex Event Processing (CEP) is fast becoming a critical paradigm for enterprises to keep ahead of the curve and turn real-time, potentially infinite data streams into...