
Explore the intersection of real-time analytics and generative AI in app development, revolutionizing business strategies and technological innovation.

Explore Netdata's open-source distributed observability pipeline, addressing challenges in monitoring, real-time analytics, and AI-powered correlations for comprehensive system insights.

Explore Hadoop's real-world applications for big data analysis, including social media insights and medical data processing. Learn about advanced analytics, near real-time processing, and architectural considerations.

Explore Apache Pulsar for event streaming and Apache Pinot for real-time analytics. Learn how these powerful open-source tools combine to deliver scalable, low-latency data processing and analysis in cloud-native environments.

Explore real-time analytics optimization using Apache Kafka and Pinot. Learn how these powerful tools work together to deliver scalable, low-latency solutions for user-facing applications.

Learn to implement fast, efficient stream processing with a distributed in-memory cache using Java. Discover techniques for analyzing in-memory data and integrating external data sources for high-performance analytics.

Explore real-time log data analysis with Humio, a fast and efficient solution for managing large-scale log datasets. Learn techniques for explorative querying and cost-effective log management.

Explore real-time customer analytics architecture at Twilio, including benefits, challenges, and sub-second latency impact. Learn how these insights influenced Propel's approach to diverse analytics use cases.

Discover strategies for implementing real-time analytics with limited resources. Learn from Materialize's adoption experience and optimize data workflows for efficiency and cost-effectiveness.

Explore practical strategies for building edge-based real-time sensor data analytics infrastructure, using race strategy analytics as a case study to demonstrate cross-industry applications.

Explore how event streaming patterns power AI applications through real-time analytics, data enrichment, and stream processing for enhanced intelligence and reliable infrastructure.

Discover how TMAP implements dynamic pricing models for mobility on-demand services, incorporating real-time supply-demand data and external variables like weather for optimal price adjustments.

Explore how Rivian leverages real-time analytics and IoT technologies to power their electric vehicles through an advanced stack combining Kafka, Flink, and Druid with custom solutions.

Discover how computational storage enhances object storage applications through in-situ processing, improving system performance, reducing data movement, and enabling efficient real-time analytics in disaggregated environments.

Develop ML-enhanced event streaming applications using Python microservices, exploring real-time data processing and machine learning integration.

Explore anomaly detection techniques using Apache Pinot and ThirdEye for efficient cloud-native data analysis and monitoring.

Explore the FLiPN stack for building fast IoT and AI applications. Learn how Apache Flink, NiFi, and Pulsar combine to create scalable streaming solutions for edge computing and rapid data ingestion.

Explore event streaming's potential to revolutionize data processing and integration across diverse systems, enhancing real-time decision-making and operational efficiency.

Explore real-time analytics in aviation using Microsoft Fabric's Real-time Analytics. Learn data integration, visualization with Power BI, and swift decision-making techniques.

Learn to drive actions on data using the new Data Activator experience in Microsoft Fabric. Discover how to create alerts and automate responses based on real-time data insights.

Stream and analyze real-time aircraft data using Microsoft Fabric, showcasing Eventstream, KQL database, and Power BI for visualizing flight patterns above SQLBits venue.