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You were tasked with building a real-time platform, but traditional tools couldn't handle the massive data streams, leading to ...

Apache Flink has been designed for, and is mostly used with large-scale real-time data processing use-cases. Companies report ...

recorded at https://www.meetup.com/utrecht-java-user-group/events/305047055/ Introduction to Stateful Stream Processing with ...

Interview Question: What is the difference between Apache Spark versus Apache Flink?

As real-time data processing becomes crucial for modern enterprises, building resilient and fault-tolerant Apache Flink ...

Ingesting thousands of evolving Apache Kafka topics into a lakehouse often creates complex, brittle pipelines requiring constant ...

Run SQL statements on incoming data from Kafka and sink the data to a Postgres database, Cloud Object Storage, or DataStage.

CMU Database Group - Future Data Systems Seminar Series (Fall 2025) Speaker: Jark Wu (https://www.linkedin.com/in/jarkwu/) ...

... some time to get that process now same application referral application can be created in a apache flink application in that case ...

Welcome to Master of Machines! If you want to understand Apache Flink, one of the most powerful stream processing tools, this ...

... Hoellinger Apache Flink is uniquely positioned to serve as the backbone for AI agents, providing them with stream processing ...

Managing complex applications such as data processing systems on Kubernetes is a formidable challenge even for the most ...

Reactive Mode will be released (as a beta) with Flink 1.13. This is a short preview.

During this presentation, we will be talking about real time streaming evolution by Apache Flink.

More: https://berlinbuzzwords.de/session/querying-data-streams-flink-sql-part-i-eu Apache Flink supports SQL as a unified API for ...

Data enrichment is a critical step in stream processing. Real-time enrichment of streaming data with contextual information adds ...

We all know that the world is constantly changing. Data is continuously produced and thus should be consumed in a similar ...

In this video, we delve into the key differences between the `shuffle()` and `rebalance()` operations in Apache Flink. Both functions ...

Mykola Hayvanovych, Global Director of Data Science, Intel, at the MIT CDOIQ, talks with Paul Gillin and Dave Vellante about ...

... before diving into flick and the large scale machine learning issues I would like to introduce a batch of flink very briefly for those ...

Data Streaming using Apache Flink and Apache Ignite Saikat Maitra A presentation from ApacheCon @Home 2020 ...

Yun Gao: alibaba, Technical experts, Alibaba Technical Specialist, Apache Flink PMC/ Committer Dr. Yun Gao graduated from ...

Introduction to Stream Processing with Apache Flink - Marta Paes, Ververica.

Real-Time Stock Processing With Apache NiFi, Apache Flink and Apache Kafka Pierre Villard, Timothy Spann A presentation from ...