InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Kafka Needs No Keeper
Colin McCabe talks about the ongoing effort to replace the use of Zookeeper in Kafka: why they want to do it and how it will work.
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How Can Artificial Intelligence Use Big Data for Translating Documents?
John Ortega shows how documents, known as corpora, filled with information from various sources can be used to provide artificial intelligence to a translation system.
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Data Mesh Paradigm Shift in Data Platform Architecture
Zhamak Dehghani introduces Data Mesh, the next generation data platform, that shifts to a paradigm drawing from modern distributed architecture.
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Reactive Relational Database Connectivity with Spring
Mark Paluch explains R2DBC, how the API works, and the benefits for application developers who aim for functional reactive access with Spring Data R2DBC.
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Breakthroughs and the Future of (Deep) Reinforcement Learning
Andreas Bühlmeier discusses the foundation of Reinforced Learning and demonstrates how it is implemented. Also, he shows how to track and understand a system’s learning progress.
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ML's Hidden Tasks: A Checklist for Developers When Building ML Systems
Jade Abbott discusses the set of unexpected things that go on the "take it to production" checklist in the case of machine learning, and what are the tools that can help.
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CI/CD for Machine Learning
Sasha Rosenbaum shows how a CI/CD pipeline for Machine Learning can greatly improve both productivity and reliability.
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Machine Learning 101
Grishma Jena gives an overview of ML and delves deep into the pipeline used - right from fetching the data, the tools and frameworks used to creating models, gaining insights and telling a story.
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ML in the Browser: Interactive Experiences with Tensorflow.js
Victor Dibia provides a friendly introduction to machine learning, covers concrete steps on how front-end developers can create their own ML models and deploy them as part of web applications.
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Practical Change Data Streaming Use Cases with Apache Kafka & Debezium
Gunnar Morling discusses practical matters, best practices for running Debezium in production on and off Kubernetes, and the many use cases enabled by Kafka Connect's single message transformations.
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When Machine Learning Can't Replace the Human
Pamela Gay explores how creative software solutions let scientists explore the solar system.
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Future of Data Engineering
Chris Riccomini talks about the current state-of-the-art in data pipelines & data warehousing, and shares some of the solutions to current problems dealing with data streaming & warehousing.
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