Kafka Streams - Real-time Stream Processing - Book Appendix
Learn real-time stream processing with Kafka Streams, from installation to application development and testing. Covers multi-node clusters, Windows setup, and IntelliJ IDEA configuration.
Chronon: Airbnb's Open-Source Data Platform for AI and ML Applications
Explore Chronon, an open-source data platform for AI and ML applications, in this 13-minute talk by Nikhil Simha, CTO and co-founder of zipline.ai. Discover the technical problems Chronon solves and how organizations can leverage it to accelerate their A…
Data Streaming with Confluent: Stream, Connect, Govern, and Process Information
Explore the world of data streaming through this 39-minute conference talk from Devoxx. Dive into Confluent's Data Streaming Platform and discover how to Stream, Connect, Govern, and Process large volumes of information effectively. Learn about the revol…
Building a CML Pipeline with Spark and Kafka - YOW! 2018
Explore building a CML pipeline using Apache Spark and Kafka. Learn functional programming techniques for efficient data processing and machine learning workflows.
Building Data Pipelines with Apache Kafka and Confluent
Learn to build streaming data pipelines using Apache Kafka® and Confluent. Covers data ingestion, real-time transformation with ksqlDB, and data egress. Hands-on tutorials included for practical experience.
KSQLDB and Stream Processing Tutorials - KSQLDB 101
Learn to process event streams with ksqlDB's SQL syntax. Filter, transform, and query data streams, understand streams vs tables, use utility functions, and integrate with Kafka Connect. Hands-on exercises included.
KSQLDB Videos by Confluent
Comprehensive video series on ksqlDB, covering demos, integrations, use cases, installation, core concepts, data manipulation, and production deployment for stream processing with Apache Kafka.
Kafka Streams with Spring Cloud
Learn Apache Kafka Streams with Spring Cloud for real-time data processing. Covers setup, message production, stream processing, serialization, aggregation, windowing, joins, and testing.
Analysis and Application of New Features in Flink ML 2.2.0
Explore Flink ML 2.2.0's new features, including online inference, feature engineering, and real-time log clustering applications in Alibaba's infrastructure.
Construction Practice of Xiaomi Flink Real-Time Computing Platform
Explore Xiaomi's real-time computing platform construction, focusing on resource flexibility, cost-effectiveness, and usability. Gain insights into architecture, metadata management, and operational governance.
Apache Flink Stream Batch Adaptive Shuffle - Latest Progress and Future Plans
Explore Flink's latest Shuffle 3.0 architecture, featuring cloud-native design, stream-batch fusion, and adaptive capabilities for enhanced resource management and performance.
Scaling Security Threat Detection with Apache Spark and Databricks
Explore advanced security threat detection using Apache Spark and Databricks. Learn about innovative solutions for notebook-based testing, self-tuning alerts, automated investigations, and custom SDK development for enhanced cybersecurity.
Big Data Stream Analytics for Cybersecurity
Explore real-time analytics for cybersecurity using big data streams. Learn techniques to detect and respond to threats efficiently in high-volume data environments.
Apache Paimon - A Unified Data Lake for Stream, Batch, and OLAP Processing
Explore Apache Paimon's capabilities as a unified data lake system, integrating stream processing, batch operations, and OLAP functionalities for modern data architecture.
Querying Live Data Using Open Source SQL Engines - A Comparison of Apache Flink, ksqlDB, and Other Tools
Explore real-time data querying using SQL engines like Apache Flink, ksqlDB, Trino, and RisingWave for streaming data analysis on Kafka and other message buses.
Real-Time Revolution: Kickstarting Your Journey in Streaming Data
Dive into stream processing fundamentals and learn to build real-time data applications using Python's Bytewax framework, debunking common misconceptions along the way.
Many Faces of Real-time Analytics: A Guide to System Classification and Implementation
Explore real-time analytics systems classification, characteristics, and technology choices for implementing different analytical solutions in production environments.
Proton: A Single Binary for Streaming and Historical Analytics
Dive into Proton's unified streaming analytics engine, exploring watermarking, query management, and real-time data processing capabilities for enhanced historical and live data analysis.
Transforming Streams with Apache Flink - From Click to Insight
Master real-time data processing with Apache Flink, from implementing counters and windowed analytics to data enrichment techniques for high-demand distributed systems.
Building a ChatGPT Data Pipeline with RisingWave Stream Processor and Astra Vector Search
Discover how to build real-time GenAI pipelines by combining RisingWave's stream processing with Astra's vector embedding and similarity search capabilities for ChatGPT applications.
Deploying SSDs with Computational Storage - The Promise and Reality
Explore real-world applications and challenges of Computational Storage deployment, examining efficiency gains, TCO benefits, and practical implementation strategies across various use cases.