Apache Kafka + Apache Mesos = Highly Scalable Streaming Microservices
Explore building scalable streaming microservices using Apache Kafka and Apache Mesos. Learn about Kafka brokers, Kafka Streams API, and Mesos deployment options through live demos and real-world examples.
Hands-On Real Time Stream Processing for Machine Learning
Explore real-time stream processing for machine learning with hands-on examples, covering key concepts like windowing, checkpointing, and scalable architectures for continuous data analysis.
Apache Pulsar and the Legacy of Telegraphy
Explore the parallels between wireless telegraphy and Apache Pulsar, uncovering design principles for distributed, low-latency messaging systems. Gain insights into Pulsar's architecture, features, and future potential.
Temporal Databases for Streaming Architectures
Explore Crux, an open-source document database with bitemporal graph queries. Learn about its design, implementation, and future directions for efficient temporal data management in streaming architectures.
Scalable Anomaly Detection - With Zero Machine Learning
Explore Netflix's innovative approach to detecting anomalies in complex distributed systems using stream processing and simple algorithms, without relying on machine learning.
EoS in Kafka - Listen Up, I Will Only Say This Once
Explore Kafka's exactly-once semantics, including idempotence and transactions. Learn about distributed transaction mechanics, two-phase commit protocols, and future improvements for stream processing.
Chasing the Stream Processing Utopia
Explore stream processing challenges and solutions at internet scale, covering event ingestion, real-time data processing, and performance optimization techniques for large-scale applications.
Apache Kafka Event Streaming Platform for .NET Developers
Explore Apache Kafka's event streaming platform for .NET developers, covering architecture, pub/sub messaging, and real-time stream processing applications at scale.
Thirteen Ways of Looking at a Turtle
Explore 13 functional programming techniques through turtle graphics implementations, from partial application to interpreter patterns, in this comprehensive overview for FP-curious developers.
Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka ecosystem, covering core concepts, APIs, stream processing, and integration tools. Includes demos and practical insights for building robust data streaming platforms.
Open-Sourcing Venice
Explore LinkedIn's Venice: a high-throughput, low-latency derived data storage system powering AI workloads. Learn about its architecture, scalability, and real-world applications in online deep learning.
Large Scale Graph Analysis Using Scala and Akka
Explore large-scale graph analysis using Scala and Akka. Learn architecture, implementation, and optimization techniques for processing big data with graph structures and stream outputs.
Streaming Data for the Cloud Native Generation
Explore event-driven architectures, stream processing, and data management in cloud-native systems. Learn how to capture, stream, and process events, and manage stateful operations in microservices and FaaS environments.
Apache Kafka and KSQL in Action - Let’s Build a Streaming Data Pipeline
Explore real-time data streaming with Apache Kafka and KSQL. Build a pipeline, filter events, enrich data, and detect anomalies using SQL-like syntax. Hands-on demo of Kafka Connect and KSQL in action.
Taming IoT Data - Making Sense of Sensors with SQL Streaming
Explore SQL streaming for IoT data using KSQL in Apache Kafka's ecosystem. Learn to ingest, process, store, and visualize smart home energy data in near real-time with a simplified architecture.
Streaming Visualisation
Explore streaming data visualization techniques, from traditional approaches to dedicated solutions. Learn architecture blueprints and tools for real-time data analysis and presentation.
Processing Fast Data with Apache Spark - The Tale of Two Streaming APIs
Explore Apache Spark's streaming APIs for fast data processing, comparing Spark Streaming and Structured Streaming through practical examples and guidance on implementation.
Embrace the Anarchy - Apache Kafka’s Role in Modern Data Architectures
Explore Apache Kafka's role in modern data architectures, focusing on its streaming platform capabilities, ecosystem, and design patterns for addressing enterprise data flow challenges.
What Are Observables and Why Should I Care
Explore Observables: next-gen async abstraction. Learn high-level concepts, tackle typeaheads, and dive into stream processing for machine learning. Gain confidence in harnessing Observables to simplify asynchronous programming.
Improve Your App UX with One Model Processing Insights from Batch and Streams
Learn to enhance app UX using a unified model for batch and stream processing. Explore Dataflow's capabilities through a real-time demo, gaining practical insights on managing and visualizing data streams.
Scalable Stream Processing - A Survey of Storm, Samza, Spark and Flink
Comprehensive overview of popular stream processing systems for real-time Big Data analytics, comparing Storm, Samza, Spark, and Flink. Explores use cases, architectures, and trade-offs for low-latency data processing.