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Domain-Driven Design Europe 2016 - Brussel, Jan 26-29 2016 - Organised by Aardling (https://aardling.eu/) ...

"I ♥ Logs: Apache Kafka, Stream Processing, and Real-time Data" - Jay Kreps of LinkedIn Colloquium on Computer Systems ...

Eduardo Silva https://lca2020.linux.org.au/schedule/presentation/88/ Logging is one of the ancient mechanism behavior to ...

About the talk: Do you need your data processed fast, and reliably at a scale that matches your needs? Apache Beam and ...

The need to integrate existing batch and stream processing microservices in business relevant scenarios put pressure on ...

In this talk I will give an overview on various concepts used in data stream processing. Most of them are used for solving problems ...

Join David Fabritius as he explores the features and benefits of leveraging Decodable for your real-time stream processing needs.

Over the last 15 years batch processing frameworks have thrived and ruled over big data processing. But now in the age of social ...

R&D testing environments generate massive amounts of sensor data, but correlating this data with configuration metadata has ...

The session by Hans-Peter Grahsl aims to contribute towards a better understanding of how to architect and implement ...

Elixir is an Erlang-VM bytecode-compatible programming language that is growing in popularity. In this session I will show how ...

Learn how to use computer vision to analyze wait times and optimize processes. This tutorial covers object detection, tracking, ...

The understanding of complex relationships and interdependencies between different data points is crucial to many ...

This presentation was recorded at GOTO Amsterdam 2019. #GOTOcon #GOTOams http://gotoams.nl Robert Metzger - PMC ...

In this video, Jeremy shares how to create operationally simple, highly scalable streaming and data processing pipelines using ...

by Philipp Grulich & Jonas Traub Window aggregation is a core operation in data stream processing. Stream Processing Systems ...

Data streams are commonly defined as data that is continuously generated by different sources, which typically submit their data ...

Video with transcript included: https://bit.ly/2NoMFjR Ben Stopford digs into why both stream processors and databases are ...

Most software systems continuously transform streams of inputs into streams of outputs. Yet the idea of directly modeling stream ...

IoT and Stream Processing - Eduardo Silva, Arm / Treasure Data In IoT, Data Analysis is fundamental to gather insight from ...

With data stream processing there are plenty of options. Matthias gives an overview on various concepts used in data stream ...

According to Paul Chiusano, team lead at S&P Capital IQ, stream processing contain's problems that are crying out for simple and ...

... who's gonna tell us all about time series stream processing with spark and Cassandra please join me in welcoming our speaker ...

ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, ...

Another webinar from Confluent regarding Apache Kafka and stream processing.