Effect-Based Reactive Streams in Scala
Master effect-based reactive streaming in Scala to enhance your programming skills and build more efficient, scalable applications.
Event-Driven Architecture Using Apache Kafka
Explore event-driven architecture and Apache Kafka for building scalable, real-time systems with efficient data streaming and communication between components.
Example Memorization in Learning: Batch and Streaming - Differential Privacy for ML
Explore example memorization in machine learning, covering batch and streaming scenarios, space requirements, and implications for natural models and future research directions.
Stream Processing at the Edge with Apache Kafka
Explore edge computing with Apache Kafka for improved performance and resiliency. Learn use cases, cloud integration, and Kubernetes management using GitOps. Includes IoT data processing demo.
Reactive Streams Principles Applied in Akka Streams
Explore Akka Streams and Reactive Streams principles for building responsive, resilient applications with non-blocking back pressure. Learn through real-life scenarios and practical demonstrations.
Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka ecosystem: from basic concepts to advanced features, including topics, APIs, stream processing, and enterprise-grade capabilities.
Calculating the Value of Pie - Real-Time Survey Analysis With Apache Kafka
Learn to create real-time survey bots using Apache Kafka® and ksqlDB. Explore data processing, schema usage, and Kafka architecture while building an interactive Telegram bot for pastry preference polling.
Practical Pipelines - A Houseplant Soil Alerting System with ksqlDB
Learn to build a houseplant monitoring system using Raspberry Pi, Apache Kafka, and ksqlDB. Explore event-driven pipelines, stream processing, and real-time alerts for practical home automation projects.
Deep Dive into Delta Lake and UniForm on Databricks
Explore Delta Lake's architecture, innovations, and use cases for reliable data lake management. Learn how it enhances performance, governance, and quality across various industries.
Data Mining: Sketch Algorithms and Count-Min Sketch Analysis - Spring 2023
Explore advanced sketch algorithms including Misra-Gries and Count-min techniques for efficient data mining, with detailed analysis and practical applications.
Realtime Algorithmic Trading with Apache Flink - End-to-End Data Engineering Project
Develop an end-to-end algorithmic trading system using Apache Flink, Kafka, and Python. Learn real-time data processing, custom algorithms, and financial market insights.
Delta Live Tables: Building Reliable Data Pipelines with Databricks
Simplify ETL development with declarative pipelines, automatic testing, and deep visibility for reliable batch and streaming data on Databricks Lakehouse Platform.
Adding MxN Streaming Support for Envoy External Processing Filter
Dive into advanced streaming capabilities with Envoy's external processing filter, exploring MxN body streaming implementation and its practical applications in data compression scenarios.
Building a ChatGPT RAG Data Pipeline with RisingWave Stream Processor and Vector Store
Discover how to build a real-time ChatGPT data pipeline using RisingWave stream processor, integrating Twitter feeds with vector embeddings for enhanced similarity search and RAG-based chatbot functionality.
Simplify Stream Data Processing with Declarative, Scalable Kubernetes Native Technologies
Discover how to implement efficient, cost-effective stream data processing using Kubernetes-native technologies while ensuring resilience and scalability in cloud-native environments.
Inference on Streaming Data at Scale Using Numaflow
Discover how Numaflow enables scalable ML inference on streaming data, simplifying event processing and integration with messaging systems like Kafka and Pulsar in Kubernetes environments.
เรียนรู้ที่จะก้าวไปพร้อมกับ AI | กษิดิศ สตางค์มงคล | TEDxMahidolU | กษิดิศ สตางค์มงคล | TEDxMahidolU
จากเครื่องมือธรรมดาที่ถูกออกแบบมาเพื่อพูดคุย วันนี้ AI ได้กลายเป็นสิ่งที่ช่วยต่อยอดความคิด วิเคราะห์ และสร้างสรรค์งานในแบบที่เราอาจไม่เคยจินตนาการมาก่อน คำถามคือ…เราจะมอง AI เป็นเพียงสิ่งท้าทาย ที่จะเข้ามาแย่งงานเรา หรือจะก้าวไปสู่การเรียนรู้ร่วมกัน เพื่อสร้างอนาคตที่ก้าวไกลยิ่งกว่าเดิม? From a sim