Dataflow Oriented Robotic AI Framework - dora-rs
Explore dora-rs, a Rust-based framework for AI-powered robotics. Learn how it integrates ML models, supports multiple languages, and enables rapid prototyping for research and education.
Web Apps in Clojure and ClojureScript with Pedestal
Explore Pedestal for building collaborative Clojure/ClojureScript apps. Learn dataflow, pure functions, and state management to create complex applications with simplified code.
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.
HPX - A C++ Runtime System for Parallel and Distributed Computing
Explore HPX, a C++ runtime system for parallel and distributed computing. Learn about its innovative approach to multi-core processing, asynchronous task execution, and scalable addressing for high-performance applications.
AI with Power BI - Business Intelligence
Learn to create and use machine learning models in Power BI, leveraging Azure's capabilities for data-driven insights. Hands-on demos showcase AI integration for enhanced business intelligence.
Sequential Scheduling of Dataflow Graphs for Memory Peak Minimization
Optimize memory peak in sequential scheduling of dataflow graphs. Learn techniques for task and SDF graphs, including transformations and algorithms for improved performance.
Suki: Choreographed Distributed Dataflow in Rust
Explore Suki, a Rust DSL for implementing streaming dataflow with explicit compute placement, enabling fine-grained control and global optimization in distributed systems.
Connecting Data Sources with AI for Strategic Decision-Making
Explore how Google Cloud's AI integrates multiple data sources for rich analysis, empowering businesses with strategic, data-driven decision-making capabilities.
From FP to FBP: Synthesizing Processing Elements for Stream Computing
Explore Flow-Based Programming in Erlang, learning to design dataflow graphs and generate code for stream computing. Synthesize processing elements from functional blocks for efficient parallel data processing.
How to Build a Streaming Database in Three Challenging Steps
Explore the foundational choices and trade-offs in building a streaming database with Frank McSherry, Chief Scientist at Materialize. Learn manageable approaches to this complex task.
Introduction to DataFlow
Explore fully managed streaming analytics with Dataflow, minimizing latency and costs through autoscaling and batch processing.
Bringing Machine Learning to Streaming Data with a Few Lines of Code
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.
Scalable Feature Engineering with Hamilton on Ray
Explore scalable feature engineering using Hamilton and Ray at StitchFix. Learn declarative dataflow, team scaling, and efficient computation for thousands of time-series features.
Hydroflow: A Compiler Target for Fast, Correct Distributed Programs
Explore Hydroflow, a Rust-based dataflow runtime enabling correct program transformations for distributed systems. Learn about refactoring, replication, and partitioning techniques for optimizing distributed programs.