Secure IoT Command, Control, and Exfiltration Using Apache NiFi and Apache MiNiFi
Explore secure IoT data collection and control using Apache NiFi and MiNiFi. Learn to prioritize, analyze, and encrypt data at the edge while ensuring compliance with local governance policies.
Building Modern Data Streaming Apps with Open Source
Discover best practices for building data streaming applications using open-source frameworks. Learn to orchestrate streams, perform ETL, enhance events, and make continuous queries with tools like Apache NiFi, Pulsar, Spark, and Flink SQL.
Hail Hydrate - From Stream to Lake Using Open Source
Explore open-source tools for efficient data streaming and lake management, enhancing your skills in modern data architecture and processing techniques.
New Features of Apache NiFi - Tips and Techniques
Explore Apache NiFi's latest features, processors, and best practices. Build efficient data flows using cutting-edge techniques, with tips and guides for optimal implementation.
Utilizing Real-Time Transit Data for Travel Optimization
Optimize travel using real-time transit data from NYC's MTA. Learn to process and analyze public data feeds with Apache tools for efficient route planning and decision-making.
Logging Modernization and Cybersecurity at Scale with MiNiFi, Kafka and Flink
Modernize logging and enhance cybersecurity using MiNiFi, Kafka, and Flink. Learn efficient log collection, processing, and streaming analytics for global network monitoring and alert generation.
Unlocking Financial Data with Real-Time Pipelines Using Apache Technologies
Discover how to build powerful real-time data pipelines using Apache Flink, NiFi, Kafka, and Iceberg for processing financial data efficiently, enabling swift decision-making and regulatory compliance.
Log Processing with Apache NiFi and Apache Kafka
Learn real-time log processing using Apache NiFi and Kafka. Set up the environment, transform data, create flows, and load data into OpenSearch for effective log analytics.
Secure IoT Command, Control, and Exfiltration with Apache MiNiFi
Explore Apache MiNiFi for secure IoT data collection, prioritization, and analysis at the edge. Learn about encryption, governance, and centralized control using Apache NiFi for enhanced IoT security.
Building Real-time Pulsar Apps on Kubernetes
Develop real-time cloud native streaming apps using Java, Golang, Python, and Apache NiFi with Apache Pulsar on Kubernetes.
Learning the Basics of Apache NiFi for IoT
Explore Apache NiFi for IoT data ingestion, processing, and visualization. Learn key features, workflows, and practical applications through demos and real-world examples.
Building Modern Data Streaming Apps with Python
Explore modern data streaming app development using Python, focusing on key benefits and unique aspects of building efficient, scalable applications.
FLiPN Stack for Edge AI - Flink, NiFi, Pulsar
Explore FLiPN Stack for Edge AI: Learn about Flink, NiFi, and Pulsar integration for efficient data processing and streaming in IoT environments.
Apache NiFi, Kafka, RisingWave, and Iceberg for Stock Data Processing with LLM - Conf42 Python 2024
Explore stream processing with Apache NiFi, Kafka, RisingWave, and Iceberg. Learn real-time analytics, event-driven applications, and integrating stock data with LLMs in this comprehensive overview.
Building Apache NiFi 2.0 Python Processors - Conf42 Python 2024
Explore Apache NiFi 2.0 Python processors for data engineering, covering features, use cases, and real-time generative AI integration with a live demo.
Adding Generative AI to Real-Time Streaming Pipelines - Conf42 LLMs 2024
Explore integrating generative AI into real-time streaming pipelines, covering enterprise use cases, model selection, and implementation using tools like NiFi, Flink SQL, and cloud services.
Enriching Generative AI Events in Real-Time Streaming Pipelines
Explore real-time streaming pipelines for enriching generative AI events, covering unstructured data handling, Milvus architecture, and NiFi 2.0 features with practical demos.
Build ML-Enhanced Event Streaming Apps with Python Microservices - Conf42 Python 2023
Develop ML-enhanced event streaming applications using Python microservices, exploring real-time data processing and machine learning integration.
Using the FLiPN Stack for Edge AI
Explore the FLiPN stack for building fast IoT and AI applications. Learn how Apache Flink, NiFi, and Pulsar combine to create scalable streaming solutions for edge computing and rapid data ingestion.