Data Streaming for Microservices Using Debezium
Explore change data capture with Debezium for real-time data streaming in microservices. Learn implementation, use cases, and live demo of setting up streams without code changes.
Building Serverless Interactive Applications
Unlock serverless architecture's full potential with best practices, optimizations, and real-world scenarios. Learn to build secure, high-scale applications and integrate IoT, streaming data, and AI services efficiently.
Reactive Web Services
Explore reactive programming's impact on resource consumption, backpressure, data serialization, and event loops through live coding. Compare execution differences with classic imperative approaches.
Processing Streaming Data with KSQL
Explore KSQL, a SQL-like language for Kafka stream processing. Learn to create powerful applications with ease through live coding demonstrations on real-time data.
GS Collections & Java 8 - Functional, Fluent, Friendly & Fun
Explore GS Collections and Java 8's functional programming features for improved productivity, memory efficiency, and performance in this technical presentation.
Efficient Texture Streaming in Titanfall 2
Explore Respawn Entertainment's texture streaming approach for Titanfall 2, covering preprocessing, data streaming, pipeline, and texture prioritization using histograms.
Extend SQL Applications to the Edge with Azure SQL Edge
Explore Azure SQL Edge's optimized database engine for IoT workloads, featuring data streaming, timeseries, and ML capabilities. Learn about customer implementations and new features for the Intelligent Edge.
Processing Streaming Data with KSQL
Explore KSQL, a SQL-like language for Apache Kafka, enabling powerful stream processing applications with ease. Learn its benefits and see live coding demonstrations.
Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka's ecosystem, covering core concepts, APIs, and advanced features. Includes live demo showcasing Kafka's capabilities as a robust streaming data platform.
Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka's ecosystem, covering core concepts, architecture, and advanced features like stream processing APIs, with practical demonstrations and industry insights.
Snap ML - A Highly-Accelerated, Scalable Software Library for Machine Learning
Discover Snap ML, a high-performance framework for training generalized linear models. Learn about its GPU acceleration, pipelining, and distributed computing capabilities for faster machine learning on large-scale datasets.
Reactor 3 - The Reactive Foundation for Java 8 and Spring 5
Explore Reactor 3, the reactive engine powering Spring Framework 5's reactive features. Learn to write and test backpressure-ready, resilient reactive applications and APIs using practical examples.
Why Spring Belongs in Your Data Stream - From Edge to Multi Cloud
Explore building data streaming apps at scale using Spring, from edge to multi-cloud. Learn to integrate Spring with Kafka, MQTT, and other technologies for real-time processing in IoT and cloud environments.
Asynchronous I/O and Coroutines for Smooth Data Streaming
Explore asynchronous I/O with io_uring and C++20 coroutines for enhanced program responsiveness. Learn to write efficient, parallel-like code without threading complexities.
Using Python to Power Serverless Applications
Explore best practices for building serverless solutions with Python, focusing on API calls, streaming data, and ML inference. Learn techniques for production-grade systems with observability.
Realtime Distributed Computing at Scale - Storm and Streamparse
Explore realtime distributed computing using Apache Storm and streamparse in Python. Learn to handle high-volume data processing with low latency and high availability, suitable for large-scale production environments.
Choosing the Right Database for Your Next Project - Looking at Options Beyond PostgreSQL and MySQL
Explore diverse database options beyond PostgreSQL and MySQL, covering relational, data warehouse, analytics, and machine learning solutions to find the best fit for your Python project.
Fish and Chips and Apache Kafka
Learn Apache Kafka® basics through a British fish and chips shop model. Explore key concepts, multiple producers/consumers, and scalable message handling in this fun and practical introduction to data streaming.
Introduction to Azure Data Bricks - Cloud
Explore Azure Databricks for big data processing, advanced analytics, and real-time insights. Learn platform basics, architecture, and integration with Azure components for data-driven solutions.
Getting Started with Combine
Comprehensive introduction to Apple's Combine framework, covering reactive programming concepts, key components, and practical applications in iOS development.
Introduction to NATS Streams and Services on Kubernetes
Learn to architect distributed applications using NATS Streams and Services on Kubernetes. Explore multi-region deployments, security, and tooling for efficient data flow and multi-tenancy in cloud-native environments.