Why Is My Apache Flink® Job Not Producing Results?
Learn how watermarks affect Flink jobs and common pitfalls, including idle streams/partitions, watermark strategy issues, etc., which can cause a job to not produce any…
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Beyond Boundaries: Leveraging Confluent for Secure Inter-Organizational Data Sharing
Discover how Confluent enables secure inter-organizational data sharing to maximize data value, strengthen partnerships, and meet regulatory requirements in real time. This post first appeared…
Unlocking Data Insights with Confluent Tableflow: Querying Apache Iceberg™️ Tables with Jupyter Notebooks
Learn how to integrate Confluent Tableflow with Trino to query Apache Iceberg tables, and unlock real-time and historical analytics with Jupyter Notebooks This post first…
Chopped: AI Edition – Building a Meal Planner
Learn how to build an event-driven architecture that coordinates a team of four family-meal-planning agents, and leverages LangChain, Anthropic’s Claude, Kafka, and Flink. This post…
The AI Silo Problem: How Data Streaming Can Unify Enterprise AI Agents
To solve the AI silo problem, enterprises need a shared communication layer for AI agents—a real-time, event-driven approach that lets agents share intelligence and take…
Shifting Left: How Data Contracts Underpin People, Processes, and Technology
Application engineers situated at the beginning of a data pipeline (“left side”) should apply data contracts and products as rigorously as the data engineers further…
How the Singapore Government is Building Agility to Enhance Citizen Services with IMDA’s Tech Acceleration Lab and the Government Commercial Cloud+
Singapore’s Tech Acceleration Lab helps other government agencies modernize by onboarding them to a streaming-capable government cloud, which features Confluent as a key vendor. This…
Optimizing Serverless Stream Processing with Confluent Freight Clusters and AWS Lambda
Freight Clusters are ideal for high-throughput, relaxed latency workloads like telemetry and logging. Combine them with AWS Lambda for a serverless, cost-effective, data pipeline. This…
Introduction to Streaming Data Pipelines with Apache Kafka and ksqlDB
A data pipeline is a method for getting data from one system to another, whether for analytics purposes or for storage. Learning the elements that…
A Guide to Stream Processing and ksqlDB Fundamentals
Event streaming applications are a powerful way to react to events as they happen and to take advantage of data while it is fresh. However,…
Announcing ksqlDB 0.19.0
We’re pleased to announce ksqlDB 0.19.0! This release includes a new NULLIF function and a major upgrade to ksqlDB’s data modeling capabilities—foreign-key joins. We’re excited…
Online, Managed Schema Evolution with ksqlDB Migrations
Making changes to a database schema is a natural part of software development. Often, it’s important to carefully manage the timing of changes and keep…
Announcing ksqlDB 0.17.0
We’re excited to announce ksqlDB 0.17, a big release for 2021. This version adds support for managing the lifecycle of your queries from CI servers,…
Keys in ksqlDB, Unlocked
One of the most highly requested enhancements to ksqlDB is here! Apache Kafka® messages may contain data in message keys as well as message values.…
Announcing ksqlDB 0.15
We’re pleased to announce ksqlDB 0.15, our first release of 2021! This version adds rich support for message key columns and long-awaited improvement to interactive…