Why Serverless Flink Matters - Blazing Fast Stream Processing Made Scalable
Discover how serverless Flink revolutionizes real-time data processing, offering improved scalability, reduced costs, and increased flexibility. Learn to build low-latency applications focusing on business logic rather than infrastructure management.
Put Events to Work and Respond in Real Time
Unlock real-time event streams to detect trends, issues, and threats. Learn how IBM Event Automation empowers teams to process events, define scenarios, and automate decisions.
Exploring Google Cloud's Data and AI Foundation
Discover Google Cloud's data and AI advantages, including Generative AI integration, infrastructure benefits, and real-time data matching across structured and unstructured sources.
Effortless Change Data Capture with Debezium and Kubernetes
Harness the power of Change Data Capture in Kubernetes using Debezium. Learn to track, stream, and deploy real-time database changes efficiently for data-driven applications.
Real-Time Machine Learning and Smarter AI with Data Streaming
Explore real-time machine learning and AI with data streaming. Learn how Airy's open-source platform uses Apache Kafka to improve customer experiences through integrated, accessible data and conversational AI.
Building and Designing Events and Event Streams with Apache Kafka
Learn to design effective event-driven architectures using Apache Kafka. Explore key concepts like internal vs. external events, fact vs. delta, and normalization strategies to build scalable, responsive systems.
Video Analytics for Football Games
Explore real-time video analytics for football games using Apache Beam, machine learning, and cloud technologies to detect events, track players and ball, and perform game analytics.
Using Kafka at Scale - A Case Study of Microservices Data Pipelines at Evernorth Health Services
Explore a case study on implementing Kafka-based microservices data pipelines at scale in Evernorth Health Services, showcasing real-world applications and challenges.
Streaming CDC Data from PostgreSQL to Snowflake - Challenges and Solutions
Uncover streaming ETL secrets: Postgres to Snowflake data ingestion, change data capture, dynamic tables, and Snowpipe streaming. Learn solutions for lower latency, cost savings, and enhanced scalability.
The Future of Application Development - Cloud Native Summit
Explore Kappa architecture, stream processing, and LLM integration for innovative application development. Learn to build scalable systems leveraging real-time data and AI capabilities.
The Path to Real-time Data Integration with Open Source
Explore real-time data integration using SymmetricDS, an open-source solution for syncing databases. Learn to set up and scale data replication across various platforms for improved service offerings and customer insights.
Why an Event-Native Mindset Is Essential for Data Architecture
Embrace an Event-Native Mindset to build a responsive data architecture. Learn to model events, create an enterprise nervous system, and enable real-time action and prediction using event-driven knowledge architecture.
Real-time AI Made Easy - Harnessing Generative AI Functions in Apache Kafka and Apache Pulsar
Harness Generative AI Functions in Apache Kafka and Pulsar for real-time AI applications. Explore Vector Search, Computing Embeddings, and Chat Completion use cases with a live demonstration.
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.
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.
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.
Anomaly Detection on Time Series Data Using Apache Flink
Implement real-time anomaly detection on network activity time series data using Apache Flink. Compare EWMA and PEWMA algorithms for effective intrusion detection in cloud-native deployments.
The Wonderful World of Apache Kafka
Explore Apache Kafka's ecosystem, including Producer and Consumer libraries, Connect, Streams, and Schema Registry. Gain insights for implementing Kafka in your organization.
Building a Dynamic Rules Engine with Kafka Streams
Develop a real-time threat detection system using Kafka Streams. Learn to handle dynamic rule modifications, implement external data feeds, and apply best practices for stream processing.
Handle Millions of IoT Devices Connected to Kafka via MQTT
Learn to manage massive IoT device networks using Kafka and MQTT for real-time data ingestion, analysis, and control in applications like vehicle communication and predictive maintenance.