
Explore WebAssembly's potential to simplify and enhance streaming data pipelines, reducing latency and resource usage while improving system performance and developer experience.

Explore vector databases, their rise in managing unstructured data, and insights from Milvus. Learn about embeddings, production use cases, challenges, and future developments in this emerging field.

Learn to create custom data pipelines for efficient web scraping in Python, streamlining data collection and processing for beginners.

Learn to create embedded, reactive visualizations for augmented reality using RagRug, an open-source toolkit integrating Unity, Node-RED, and JavaScript for seamless situated analytics development.

Innovative time series data model enhancing ingestion, query performance, and storage efficiency. Introduces "one table per collection point" and "supertable" concepts, with benchmark results demonstrating effectiveness.

Explore Resource from cats-effect library for efficient resource management in Scala, covering error handling, composition, and advanced use cases like queue consumption and Stream transformation.

Implement a watch list removal feature in an Android classifieds app using Firebase and ElasticSearch, enhancing user experience and functionality.

Live coding session on event streaming with Kafka, covering Spring Kafka, Kafka Streams, and Spring Actuator. Learn to create consumers, producers, and streams for scalable, fault-tolerant applications with real-time monitoring.

Learn to automate web scraping in R for real-time data analysis. Covers periodic scraping, filtering timely content, text analysis, and setting up hourly email alerts for changing events and trends.

Learn to scale R for big data using Hadoop and Spark. Set up a Spark cluster, wrangle HDFS data, and build/deploy machine learning models using Microsoft R Server and distributed processing libraries.

Explore techniques for building fully reactive applications using Spring WebFlux and React. Learn to stream data to the UI for constant updates in this live coding session with Q&A.

Learn to build an automated workflow monitoring cryptocurrency prices, analyzing time series data, and triggering real-time Slack alerts using n8n and QuestDB integration.

Explore the Streams API's terminal operations, focusing on collectors. Learn to choose, combine, and create custom collectors for efficient problem-solving in Java programming.

Explore NoSQL databases for Java projects, including JNoSQL API and its benefits for handling big data. Practical demonstration included.

Explore full-stack reactive programming using Spring WebFlux and React, with live coding demonstrations and expert insights on streaming data, UI updates, and building resilient systems.

Explore lazy evaluation in Java for efficient, scalable applications. Learn about data structures, APIs, and techniques to improve performance and responsiveness in big data scenarios.

Optimize Apache Kafka performance using Oracle GraalVM Enterprise for enhanced speed and efficiency in Java-based messaging systems.

Explore Quine, an open-source streaming graph solution for efficient event stream interpretation, offering real-time query answers and scalability to millions of events per second.

Explore the risks and implications of open source software relicensing, learn safeguarding strategies, and gain insights for evaluating and creating OSS projects.

Explore Milvus 2.0, a cloud-native vector database for unstructured data. Learn its architecture, features, and real-world applications in art, security, real estate, and e-commerce.

Explore event-driven data ingestion using AWS Lambda with Delta Lake. Learn to process, update, and query Delta tables efficiently in Python and Rust for a more responsive data platform.