Real-Time Streaming

This collection focuses on the integration of real-time streaming technologies and generative AI, showcasing tools such as Apache NiFi, Kafka, and Flink. It covers the development of real-time data pipelines, analytics, and the management of unstructured data through various frameworks and methodologies. Case studies and demos illustrate practical applications in areas like transit data, IoT, and generative AI use cases, highlighting advancements in data processing and the integration of machine learning for efficient real-time analytics and decision-making.

Caltrans District 7 Reduced Video Surveillance Latency by Up to 29 Seconds Using Red5
 
Streaming AI Pipelines with Apache NiFi and Snowflake NYC 2025
Streaming AI Pipelines with Apache NiFi and Snowflake 2025
Streaming Data and AI with Apache NiFi and Snowflake
Conf42_IoT_Dec2024_Building IoT Applications With Open Source
2024Nov20-BigDataEU-RealTimeAIWithOpenSource
TSPANN-2024-Nov-CloudX-Adding Generative AI to Real-Time Streaming Pipelines
2024-Nov-BuildStuff-Adding Generative AI to Real-Time Streaming Pipelines
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
Real-Time AI Streaming - AI Max Princeton
2024 XTREMEJ_ Building Real-time Pipelines with FLaNK_ A Case Study with Transit Data
28March2024-Codeless-Generative-AI-Pipelines
TCFPro24 Building Real-Time Generative AI Pipelines
Conf42-Python-Building Apache NiFi 2.0 Python Processors
DBA Fundamentals Group: Continuous SQL with Kafka and Flink
NY Open Source Data Meetup Feb 8 2024 Building Real-time Pipelines with FLaNK_ A Case Study with Transit Data
OSACon 2023_ Unlocking Financial Data with Real-Time Pipelines
Building Real-Time Travel Alerts