
Explore building a real-time drone delivery app using Cadence and Apache Kafka, then apply TensorFlow for machine learning on streaming data to predict busy shops.

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.

Explore reactive programming with Project Reactor, mastering concepts like Flux and Mono for efficient, non-blocking data handling in Java applications.

Explore real-time analytics in aviation using Microsoft Fabric's Real-time Analytics. Learn data integration, visualization with Power BI, and swift decision-making techniques.

Stream and analyze real-time aircraft data using Microsoft Fabric, showcasing Eventstream, KQL database, and Power BI for visualizing flight patterns above SQLBits venue.

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.

Explore how streaming data applications enable real-time environmental insights, driving sustainable decisions and cost savings while addressing ethical considerations and maintaining profitability.

Learn cost-effective streaming optimization techniques to drastically reduce infrastructure expenses. Discover simple SQL methods and advanced strategies for distributed storage and compute stacks.

Explore ML-powered stream processing with Dataflow and Apache Beam. Learn about Dataflow ML's integration with Vertex AI and Etsy's customer analytics platform journey.

Deploy and manage ML pipelines for streaming data, including inference, image classification, and custom model handling. Learn from Spotify's experience in large-scale ML podcast preview generation.

Explore MLOps in ad platforms with Andrew Yates. Learn about designing ML components, monitoring systems, and optimizing billion-dollar content marketplaces for long-term revenue and user experience.

Explore real-time machine learning with Chip Huyen, covering learning strategies, MLOps challenges, and streaming complexities. Gain insights on when to implement real-time solutions and avoid common company mistakes.

Hands-on tutorial for building real-time data pipelines using Databricks, from ingesting NASA supernova data to implementing LLMs with RAG. Covers ETL, stream processing, and natural language analytics.

Learn strategies and tools for migrating Kafka clusters with minimal downtime. Explore MirrorMaker, Confluent Replicator, and Cluster Linking. Gain insights on planning, execution, and overcoming challenges in Kafka migration.

Discover how React Server Components revolutionize web development by enabling server-side rendering with minimal client code while maintaining interactivity and optimal performance.