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Discover how Busie transformed bus booking from fax-to-digital using event-driven architecture and managed Kafka to modernize a legacy industry with real-time data streaming.
Explore Apache Flink SQL on Confluent Cloud for real-time data pipelines, syncing and transforming data with Kafka integration, schema evolution, and warehouse connectivity.
Discover how MarketAxess transformed from legacy systems to real-time trading infrastructure using Confluent Cloud, eliminating outages and scaling trade data across hybrid environments.
Discover how to build real-time mortgage underwriting AI agents using Confluent Cloud, Databricks, and AWS to fully automate applications from submission to final decision.
Discover how to build a real-time AI meeting coach using Confluent, Flink SQL, and OpenAI to provide sales teams with contextual advice during conversations.
Discover how Allium scaled from 3 to 100 blockchains using Confluent Cloud, transforming raw blockchain data into clean, real-time feeds without burning out engineering teams.
Uncover 4 key data streaming trends from Confluent's 2025 report, exploring how IT leaders achieve 5x ROI while powering real-time AI and breaking down data silos for competitive advantage.
Discover how Swedbank transforms financial data strategy using Apache Kafka and Confluent Cloud, implementing shift-left methodology to accelerate data flow and reduce risk.
Explore how data streaming solves AI agent isolation, enabling multi-agent collaboration through Apache Kafka and Google Cloud's A2A protocol for scalable enterprise AI systems.
Explore how Cursor's AI-powered IDE leverages WarpStream for data sovereignty, telemetry pipelines, and scalable development workflows in this engineering deep dive.
Comprehensive exploration of Apache Kafka's internal architecture, covering key components, protocols, and advanced features for scalable, real-time event streaming systems.
Learn to build streaming data pipelines using Apache Kafka® and Confluent. Covers data ingestion, real-time transformation with ksqlDB, and data egress. Hands-on tutorials included for practical experience.
Comprehensive tutorial on data mesh architecture, covering its principles, implementation, and practical applications in modern data analytics, with hands-on examples using Confluent's platform.
Explore event sourcing with Apache Kafka®, covering concepts like CQRS and CDC. Learn advantages of storing data as events, implementation techniques, and hands-on practice with Confluent Cloud.
Learn to build streaming applications with Kafka Streams, covering concepts like streams, tables, joins, time windows, and deployment. Gain hands-on experience in processing data stored in Kafka using this functional Java API.
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