Apache Kafka on Kubernetes with Strimzi
Learn to deploy and manage Apache Kafka on Kubernetes using Strimzi, addressing challenges and exploring features like cluster creation, user/topic management, and monitoring through a practical demo.
Kafka Microservices with Kafka plus Akka and Kafka Streams
Explore microservices architecture using Kafka, Akka, and Kafka Streams for scalable, event-driven systems. Learn implementation techniques and best practices from an industry expert.
Expressive Kafka Streams API for Scala Developers
Explore an expressive Kafka Streams API tailored for Scala developers, enhancing stream processing capabilities and improving code readability in distributed systems.
Kafka Based Microservices with Akka Streams and Kafka Streams
Explore Kafka-based microservices using Akka Streams and Kafka Streams, covering architecture benefits, streaming alternatives, and practical examples in Scala.
Stream Data Processing for Fun and Profit
Explore distributed data processing frameworks for handling large-scale event streams. Learn about Apache Storm, Spark, and emerging platforms to build reliable, scalable systems for real-time data processing.
Building Data Intensive Microservices with Apache Kafka
Learn to scale microservices for big data workloads using Apache Kafka's messaging system and ecosystem, enabling high-volume data handling and efficient pub-sub capabilities.
Using Kafka for Real-Time Data Ingestion with .NET
Explore Apache Kafka's scalable messaging system for distributed architectures. Learn architectural principles and build a .NET project to efficiently produce and consume messages.
Kafka Connectors: Introduction to Kafka Connect Framework
Explore Kafka Connect framework for integrating Kafka with external systems, focusing on cluster setup and connector functionality.
Optimize Costs and Scale Streaming Applications with Virtually Unlimited Storage from AWS Services
Scale streaming apps with AWS services for unlimited storage and cost optimization. Learn to leverage tiered storage for long-term data retention, enabling agile decision-making and proactive strategies in event-driven architectures.
Forecasting Kafka Lag Issues with Machine Learning
Learn to predict and manage Kafka Partition Lag using machine learning techniques. Explore normal and abnormal lag patterns, ensemble forecasting, and case studies for improved Kafka observability.
Developing Fast Applications With Open Source Software - Without the Fury
Explore performance and scalability challenges in building fast, scalable Big Data applications using open-source technologies like Apache Cassandra and Apache Kafka. Gain insights from real-world experiences.
Data Mesh for Instant Query - Why Trino on Data Mesh
Discover how modern data platforms are evolving from producer-centric to consumer-centric approaches, exploring Trino's role in data mesh architecture for efficient cross-platform data analysis and instant querying.
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.
Dyalog and Apache Kafka Integration - True?
Explore Apache Kafka's potential with Dyalog APL, learning about distributed event streaming, real-time data pipelines, and practical implementation 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.
Simplifying Kafka Governance for Developers
Explore Kafka governance simplification using Klaw. Learn about architecture, approval processes, and practical demonstrations for efficient Kafka management in DevSecOps 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.
Streaming DataFrames: A New Way to Process Streaming Data - Conf42 Python 2024
Explore streaming DataFrames as a novel approach to process real-time data, enhancing efficiency and simplifying stream processing workflows for Python developers.
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.