셀프서비스 Stream Designer로 시스템 강화하기
Discover how Stream Designer platform revolutionizes real-time data processing in semiconductor manufacturing, enabling efficient DevOps and simplified data manipulation through self-service capabilities.
Stream Types - A Foundational Theory of Typed Data Streams and Stream Transformers
Explore a foundational theory of typed data streams and transformers, covering complex sequential patterns, parallel structure, and programming idioms like punctuation and windowing.
Designing Streaming Data Pipelines: Best Practices - Cloud Native 2024
Explore best practices for designing streaming data pipelines, covering key concepts, challenges, and considerations for scalability in cloud-native environments.
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.
Introduction to Kafka Streams
Learn the fundamentals of Kafka Streams, a powerful library for building real-time stream processing applications within the Apache Kafka ecosystem.
Creating a Kafka Streams Application
Develop a Kafka Streams application using KStream types and configurations for efficient data processing and analysis.
Bytedance Deep Learning: Batch Flow Integrated Training Practice
Explore ByteDance's batch-stream integrated AI training engine, supporting large-scale cloud-native models for various businesses. Learn about flexible scheduling, data orchestration, and performance optimization techniques.
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Explore WebAssembly's potential in revolutionizing real-time stateless streaming pipelines for Kafka, focusing on low-latency, high-volume data management.
Fact vs. Delta Event Types in Event Streaming - Module 2
Explore properties, scenarios, and examples of Fact, Delta, and Composite event types. Learn usage recommendations and avoid pitfalls in event design for effective event streaming.
Challenges Using Apache Kafka for Data Streaming Systems
Explore key capabilities of streaming platforms and compare self-managed Apache Kafka with Confluent Cloud's fully-managed services for efficient data streaming operations.
3 Flink Mistakes We Made So You Won't Have To
Discover key lessons and avoid common pitfalls when adopting Apache Flink for stream processing. Learn to optimize Kafka integration, memory configuration, and checkpointing for efficient and reliable data processing.
What is a Headless Data Architecture? - Understanding the Modular Approach to Data Management
Explore headless data architecture: decouple computation from storage, enable modular ecosystems, and streamline data processing for real-time and analytical use cases.
Understanding Data Streaming Platforms: Components and Evolution
Explore the six key components of a Data Streaming Platform, from Apache Kafka to Tableflow, and learn how they work together to provide a complete solution for unified end-to-end data streaming across your organization.
Real-Time Threat Detection Using Machine Learning and Apache Kafka
Explore real-time threat detection using machine learning, Apache Kafka, and ksqlDB. Learn about ZIEM, a network mapping and intrusion detection platform that generates instant network diagrams for quick anomaly detection.
Why Serverless Flink Matters - Blazing Fast Stream Processing Made Scalable
Discover how serverless Flink revolutionizes real-time data processing, offering improved scalability, reduced costs, and increased flexibility. Learn to build low-latency applications focusing on business logic rather than infrastructure management.
Creating Custom Queries with Kafka Streams IQv2
Explore custom queries with Kafka Streams Interactive Queries v2. Learn to build IQ services, create tailored queries, and test applications for efficient state store access and business-aligned data processing.
Unifying Stream Processing with a Fast Data Store
Explore a unified architecture for stream processing, combining fast data storage to enhance simplicity, performance, and cost-efficiency in real-time data platforms.
Building High Performance Real-time Stream Processing Microservices - GeeCON 2023
Discover best practices for real-time stream processing, addressing challenges and optimizing projects for scalability, performance, failover, reliability, and data recovery using the Hazelcast platform.
Practical Pipelines - A Houseplant Soil Alerting System with ksqlDB
Learn to build a houseplant monitoring system using Raspberry Pi, Apache Kafka, and ksqlDB. Create real-time alerts and gain hands-on experience with event-driven pipelines and stream processing.