
Explore techniques to accelerate Approximate Nearest Neighbor Search for large datasets using Milvus. Learn about unstructured data services, vector databases, and real-world AI applications.

Explore web application honeypots for threat intelligence, using ModSecurity and OWASP Core Rule Set to capture attacker activity and protect software against emerging threats.

Explore the time series technology stack for IoT edge devices, focusing on efficient data collection, processing, and analysis in resource-constrained environments.

Explore Milvus 2.0, an advanced open-source vector database. Learn its architecture, layers, and applications in ML pipelines, smart property search, product recommendations, and more.

Explore intelligent edge solutions in IoT, addressing technical challenges and showcasing demos. Learn to deploy AI, ML, and analytics on small devices for real-time insights and innovative business applications.

Explore RSocket, an open-source reactive protocol for IoT-cloud communication. Learn its benefits, deployment models, and how it simplifies service discovery and bi-directional data flow.

Explore scalable localization techniques using NLP, Docker, and open-source tools. Learn about continuous deployment, live syncing, content generation, and emotional response for global product expansion.

Analysis of 2,000 cloud detections reveals enterprise control patterns, gaps, and attacker motives. Learn to strengthen multi-cloud security operations with actionable insights and MITRE ATT&CK framework application.

Explore real-time pipeline monitoring for energy, covering data ingestion, architecture, WebAssembly, security, and analytics. Learn innovative solutions for edge-to-cloud monitoring and virtualized testing.

Discover the hidden benefits of open source for engineers and organizations, from improved code quality to enhanced company culture and reputation.

Explore WebAssembly integration in high-performance data streaming, focusing on challenges, solutions, and developer experience in Redpanda's Seastar framework environment.

Explore real-time data capture using Debezium, Apicurio Registry, and Strimzi. Learn to stream database changes to Kafka, visualize with ksqldb and kafka-ui, and harness event-driven architectures.

Explore NTT DATA's journey in open source contributions, from PostgreSQL to Hadoop, and learn about their future focus on confidential computing and Kubernetes operators.

Interactive graph pattern matching system for large-scale data analysis. Outperforms alternatives with optimized execution plans and distributed processing, enabling efficient querying without manual tuning.

Explore Amazon Keyspaces architecture for handling massive data scales with low latency. Learn techniques applicable to Apache Cassandra for achieving highly scalable performance.

Explore modern OLAP techniques for Cassandra data using Arrow, Flight SQL, ADBC, and DuckDB. Learn to convert sstable snapshots to Parquet, enable real-time analytics, and leverage Flight SQL for efficient querying.

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.

Explore AI-driven semantic search using Apache Cassandra, integrating Python and fastText for vector search. Learn current capabilities and future enhancements for efficient natural language processing and AI data solutions.

Discover how Ruby Polars can efficiently clean and prepare large datasets, expediting data import processes for applications and AI/ML projects using basic operations.

Explore "Bring Your Own Cloud" deployments for balancing data security and SaaS efficiency in streaming architectures. Learn about BYOC benefits, architecture, and implementation through expert insights and demonstrations.

Explore cloud-first storage for streaming data, unlocking new capabilities by combining real-time and historical data, improving cost efficiency, and enabling innovative use cases.