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Author: Michael Drogalis
GPT-4 + Streaming Data = Real-Time Generative AI
ChatGPT and data streaming can work together for any company. Learn a basic framework for using GPT-4 and streaming to build a real-world production application.
Stream Processing in Your Native Tongue
Stream processing has long forced an uncomfortable trade-off: choose a framework based on its power, or in your preferred programming language. GraalVM may offer an alternative solution to avoid having to choose.
Introducing Stream Processing Use Case Recipes Powered by ksqlDB
From fraud detection and predictive analytics, to real-time customer experiences and cyber security, stream processing has countless benefits for use cases big and small. By unlocking the power of continuous […]
Readings in Streaming Database Systems
What will the next important category of databases look like? For decades, relational databases were the undisputed home of data. They powered everything: from websites to analytics, from customer data […]
How ksqlDB Works: Internal Architecture and Advanced Features
To effectively use ksqlDB, the streaming database for Apache Kafka®, you should of course be familiar with its features and syntax. However, a deeper understanding of what goes on underneath […]
Confluent’s ksqlDB Is a Strong Performer in The Forrester Wave™: Streaming Analytics, Q2 2021
We are pleased to announce that Confluent has been named a Strong Performer in The Forrester Wave: Streaming Analytics, Q2 2021 report (the report is available to Forrester subscribers or […]
Are We There Yet? The Query Your Database Can’t Answer
What if I told you there is a query your database can’t answer? That would probably surprise you. With decades of effort behind them, databases are one of the most […]
How Real-Time Stream Processing Safely Scales with ksqlDB, Animated
Software engineering memes are in vogue, and nothing is more fashionable than joking about how complicated distributed systems can be. Despite the ribbing, many people adopt them. Why? Distributed systems […]
How Real-Time Materialized Views Work with ksqlDB, Animated
All around the world, companies are asking the same question: What is happening right now? We are inundated with pieces of data that have a fragment of the answer. But […]
How Real-Time Stream Processing Works with ksqlDB, Animated
ksqlDB, the event streaming database, is becoming one of the most popular ways to work with Apache Kafka®. Every day, we answer many questions about the project, but here’s a […]
Unifying Streams and State: The Seamless Path to Real Time
More than ever before, people demand immediacy in every aspect of their lives. Expectations for how we shop, bank, and commute have completely evolved over the last decade. When you […]
Building a Materialized Cache with ksqlDB
When a company becomes overreliant on a centralized database, a world of bad things start to happen. Queries become slow, taxing an overburdened execution engine. Engineering decisions come to a […]
Announcing Tutorials for Apache Kafka
We’re excited to announce Tutorials for Apache Kafka®, a new area of our website for learning event streaming. Kafka Tutorials is a collection of common event streaming use cases, with […]