Building Sentiment Analysis with Kafka and AI/ML
Explore sentiment analysis using Kafka and AI/ML with Red Hat technologies through an interactive demo of a retail customer use case.
Optimize Apache Kafka with Cruise Control
Discover how Cruise Control optimizes Kafka clusters, maximizing hardware resources and simplifying management with AMQ Streams operator.
Sentiment Analysis Use Case - DevNation Day India 2023
Explore sentiment analysis techniques and applications in this insightful tech marketing presentation from DevNation Day India '23.
Application Data Streaming with Apache Kafka and Swim
Explore real-time data streaming with Apache Kafka and Swim. Learn about stateful business logic, stream processing, and creating dynamic UIs for actionable insights from distributed data sources.
Apache Kafka: Past, Present, and Future - Keynote
Explore Apache Kafka's evolution, community impact, and future developments. Gain insights from industry leaders on Kafka's applications and upcoming features like KRaft.
Building a Real-Time AI Data Platform with Apache Kafka
Explore building a real-time AI data platform using Apache Kafka, focusing on migrating from batch to stream processing without stateful components. Learn about Forecasty.ai's journey and innovative solutions.
Running Apache Kafka in Production - 6 Key Recommendations
Discover essential recommendations for optimizing Apache Kafka in production environments, covering operational aspects, serialization, architecture, and advanced features for efficient data streaming.
Improving Apache Kafka Scalability and Elasticity with Tiered Storage
Explore tiered storage in Apache Kafka for improved scalability and elasticity. Learn implementation, benefits, and impact on performance from a Confluent engineer.
Building a Winning Data Engineering Culture
Learn to build a successful data engineering team and culture, empowering engineers and partners for efficient data systems and fruitful projects. Explore critical roles and strategies for data-driven decision-making success.
Rule Based Asset Management Workflow Automation at Netflix
Explore Netflix's innovative approach to automating asset management workflows using rule-based systems, enhancing efficiency and scalability.
Business Event-Driven Architecture and Governance in Action
Implement Event-Driven Architecture effectively with a Center of Excellence. Learn from real-life experiences in large industries to set up strong foundations, define designs, and guide development teams.
Fast Fourier Transform (FFT) of Time Series in Kafka Streams
Explore digital signal processing with Kafka Streams, transforming time-domain signals to frequency domain using FFT. Learn to build a precise frequency alert system and visualize results in real-time.
Off-Label Data Mesh - A Prescription for Healthier Data
Explore data mesh application beyond analytics, using event streams for real-time and batch operations. Learn practical guidelines, overcome hurdles, and implement a minimally viable data mesh for improved data management.
Configuring Kafka Connect for Scalability - Best Practices
Optimize Kafka Connect clusters for scalability. Learn best practices to configure and manage Kafka Connect effectively, ensuring successful integration of external systems with Apache Kafka at scale.
Maximizing Real-Time Data Processing with Apache Kafka and InfluxDB - A Comprehensive Guide
Learn to create powerful data pipelines by combining Apache Kafka and InfluxDB for real-time processing, analysis, and visualization of large-scale data, especially in IoT applications.
Evolution of Streaming Pipeline at Lyft - Real-Time Optimization Platform
Explore Lyft's real-time optimization platform evolution, focusing on streaming infrastructure for marketplace balance, scalability, and decision-making using Kafka and data science tools.
Restate: Stream Processing for Microservices
Explore a novel system for microservices that handles state, communication, and consistency. Learn how it complements event-processing systems for complex control flow and coordination in distributed applications.
Flink SQL: The Challenges to Build a Streaming SQL Engine
Explore challenges in building a streaming SQL engine like Flink SQL. Learn about late data handling, change data processing, event ordering, nondeterminism, and state storage in stream processing.
Debezium Snapshots Revisited - Incremental Snapshots for CDC Pipelines
Explore innovative incremental snapshot techniques for Debezium CDC connectors. Learn to pause, resume, and parallelize snapshots, and customize snapshot contents for efficient data pipeline management.
Dynamic Change Data Capture with Flink CDC and Consistent Hashing
Implement dynamic Change Data Capture for large databases using Flink CDC connectors and consistent hashing. Overcome challenges with incremental snapshotting and Postgres replication slots.
Automatically Detect and Remediate Degraded Storage in Kafka
Discover an automated system for detecting and remediating degraded storage in Kafka, improving cluster performance and availability. Learn about monitoring, algorithm formulation, and mitigation strategies.