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Change Data Capture with Flink SQL and Debezium Marta Paes A presentation from ApacheCon @Home 2020 ...

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

Recovery and in terms of processing guarantees uh and this streaming streaming World which are at most ones at least ones and ...

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

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

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

Building Modern Data Streaming Apps with Open Source - Timothy Spann, StreamNative In my session, I will show you some best ...

For the most flexible, powerful stream processing engines, it seems like the barrier to entry has never been higher than it is now.

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

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

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

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

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

Session presented at Big Data Spain 2018 Conference 15th Nov 2018 Kinépolis Madrid.

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

Okay so this is specifically for data stream processing real time result from data stream right so what is basically doing is a part of ...

Flink SQL in 2020: Time to show off! Timo Walther A presentation from ApacheCon @Home 2020 ...

An overview of Big Data Processing engines with a focus on Apache Spark and Apache Flink. In particular, we address the ...

More: https://berlinbuzzwords.de/session/qu... Apache Flink supports SQL as a unified API for stream and batch processing.

OLAP data stores like Apache Pinot are emerging to serve low-latency analytical queries at web scale. With its columnar data ...