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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 ...

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

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

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

Jakub Piasecki and Fabian Hueske talking about "7 Reasons to use Apache Flink for your IoT Project - How We Built a Real-time ...

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

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

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

Consuming these changelogs with Apache Flink used to be a pain, but the latest release (Flink 1.11) introduced not only support ...

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

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

In our talk, we want to give an overview of our current implementation ofCypher on Apache Flink. Cypher is the Neo4j graph query ...

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

How to run apache-flink 1.6.2 in localhost? Helpful? Please support me on Patreon: https://www.patreon.com/roelvandepaar With ...

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

CongXian Qiu: Tencent Technology Co LTD, Senior Development Engineer, Apache Flink Committer, big data Development ...

In this talk, we'll be discussing an architecture involving Apache MiNiFi agents, Apache NiFi, Apache Kafka and Apache Flink to ...

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

One of the primary challenges of data ingestion is the tradeoff between the latency of data availability for the downstream systems ...

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