Billing the Cloud - Real World Stream Processing
Explore real-time stream processing for big data, focusing on implementing real-time billing from resource events in distributed systems. Learn key concepts and a reference architecture.
The Future of Streaming Data - Challenges and Opportunities
Explore the future of streaming data, focusing on managing complex data connections, adopting Kafka internally, and addressing challenges in data governance, security, and movement across organizations.
What Apache Kafka Developers Can Learn from Online Gaming
Explore how online gaming concepts enhance large-scale event management in Apache Kafka, including latency masking, conflict resolution, and seamless collaboration techniques for improved real-time data processing.
The Present and Future of Stream Processing - Trends and Innovations
Explore trends in data streaming, Apache Kafka adoption, and the future of stream processing with industry experts. Gain insights on best practices, emerging use cases, and technological advancements.
The Sparkling Solution that Scales to IoT
Exploring Spark and Scala for IoT big data analytics, with demonstrations of infrastructure setup on Apache Mesos and coding techniques for Spark streaming, AKKA, and SparkSQL.
Applications in the Emerging World of Stream Processing
Explore real-time stream processing applications with Apache Kafka co-creator Neha Narkhede. Learn how to harness continuously changing data for modern businesses and analytical processes.
Dissecting Our Legacy - The Strangler Fig Pattern
Explore the Strangler Fig Pattern for modernizing legacy systems using Change Data Capture, connectors, and stream processing techniques.
Assuring Data Quality at Scale
Explore strategies for implementing data quality at scale, covering challenges, metrics, and platform approaches for ensuring high-quality data in modern enterprises.
Google Dataflow - The New Open Model for Batch and Stream Processing
Explore Google Dataflow's unified batch and stream processing model through real-time demonstrations, practical insights, and visualization techniques for managing data streams.
Fast Data Analytics in 2 Simple Steps
Learn to implement fast, efficient stream processing with a distributed in-memory cache using Java. Discover techniques for analyzing in-memory data and integrating external data sources for high-performance analytics.
Streaming ETL on the Shoulders of Giants
Explore configuration-based streaming ETL pipelines between MongoDB and Apache Kafka using Kafka Connect framework, focusing on data integration scenarios without coding.
Developing a Stream Processing Application with Apache Kafka and Quarkus
Learn to build high-performance event-driven microservices using Apache Kafka and Quarkus. Explore common patterns, live coding, and integration with Quarkus' reactive core for smooth development.
Stream All Things - Patterns of Modern Data Integration
Explore modern data integration patterns, focusing on event streaming with Apache Kafka. Learn about microservices, compatibility, and innovative approaches to handling complex data challenges.
Deeply Declarative Data Pipelines with Flink and Kubernetes
Explore declarative streaming data pipelines on Kubernetes using Flink and SQL. Learn to simplify development, integrate systems, and optimize configurations for efficient stream processing.
Why Streaming SQL? The Semantics and Challenges of Applying SQL to Unbounded Data
Explore SQL's application to unbounded data streams, covering time-oriented elements, continuous pipeline challenges, and insights for data professionals.
Decoupling Compute and Storage for Stream Processing Systems
Explore the challenges and solutions of decoupled compute and storage in stream processing systems, focusing on tiered storage mechanisms to balance performance and cost-efficiency.
Building a Telegram Bot with Apache Kafka and ksqlDB
Hands-on demonstration of building a Telegram bot using Apache Kafka and ksqlDB, showcasing real-time data processing, querying, and integration capabilities without additional datastores.
Real-Time Event Streaming Patterns for AI-Native Applications
Explore how event streaming patterns power AI applications through real-time analytics, data enrichment, and stream processing for enhanced intelligence and reliable infrastructure.
Stream Processing with Redpanda and Apache Flink
Master stream processing fundamentals and advanced concepts using Redpanda and Apache Flink, from stateless operations to fault tolerance, followed by hands-on application building and deployment in Java.
Lively LiveView with Membrane - Exploring Real-time Video and Audio Processing
Explore LiveView and Membrane Framework for interactive video and audio processing in Elixir, covering stream processing, transformations, and managing complexity.
RabbitMQ Streams: Past, Present, and Future - Design Journey and New Features
Explore RabbitMQ streams' design journey, internals, and new filtering feature. Gain insights into best practices, limitations, and future developments for efficient message streaming and partitioning.