
Explore intelligent IoT gateways for edge computing, data transformation, and automated machine operations. Learn about scalable, secure IoT architectures and open-source solutions for industrial applications.

Explore edge computing for IoT data processing, addressing challenges like bandwidth and security. Learn how SAP and Red Hat's solutions enable real-time monitoring and control of remote devices.

Explore SAP HANA's in-memory database capabilities, its impact on enterprise applications, and how it can transform businesses by simplifying IT management and solving complex problems.

Discover best practices and tips for elevating Oracle Analytics dashboards. Learn about visualizations, colors, filters, auto insights, and advanced features to enhance data presentation and analysis.

Learn to rapidly build a cloud data mart, transforming raw data into actionable insights using a simple five-step process demonstrated through a practical demo.

Explore electro-photonic integration's role in addressing capacity and density challenges for cloud, access, and transport applications, focusing on coherent transceivers and future trends.

Explore the challenges, objectives, and key success factors in establishing a Cyber Security Operations Center. Learn about data aggregation, change management, and incident response strategies.

Explora técnicas avanzadas de detección de deepfakes de audio utilizando inteligencia artificial, con énfasis en metodologías, experimentos y herramientas de libre uso para enfrentar amenazas cibernéticas emergentes.

Explore real-time stream processing for machine learning with hands-on examples, covering key concepts like windowing, checkpointing, and scalable architectures for continuous data analysis.

Explore the intersection of cryptography, distributed systems, and data privacy in the digital age. Learn how new technologies can counter data centralization and shape the future of enterprise infrastructure.

Explore advanced Delta Lake features on Azure Databricks for reliable, scalable data lakes. Learn optimizations for analytics and ML workloads, including file compaction, Z-Order partitioning, and unified batch/streaming.

Learn to build real-time BI dashboards using Azure Synapse and Cosmos DB. Explore no-ETL analytical processing on operational data without impacting critical workloads. Discover hybrid transactional/analytical processing with Azure Synapse Link.

Explore Adobe Experience Platform's integration with Microsoft technologies for robust customer profiles. Learn API-first development, data connectors, and cloud-native app building with Project Firefly.

Explore MiCADO: an open-source framework for dynamic management of Docker containers across multi-cloud and edge environments, built on Kubernetes. Learn about its components, policies, and applications in various scenarios.

Streamline microservices logging with Envoy and Fluent Bit. Unify access logs, simplify parsing, and enhance data consistency for efficient troubleshooting and analysis in distributed architectures.

Explore the impact of container technology and open source hypervisors on cloud computing, micro-services, and embedded development in the era of smart, connected devices and data-driven experiences.

Discover cost-effective endpoint detection techniques using Sysmon, enhancing your cybersecurity capabilities with powerful tools and strategies.

Discover exoplanets using open-source PANOPTES: a distributed network of robotic telescopes combining cloud computing, affordable electronics, and innovative software.

Explore Twitter's PowerTrack architecture for real-time Tweet filtering, addressing challenges in scalability, redundancy, configuration changes, and data backfilling for enterprise customers.

Explore efficient data-driven UI development using Incremental, an OCaml library for dynamic computations. Learn techniques for building responsive applications that handle large data streams in real-time.

Explore near-real-time data analytics using Apache Kafka streams. Learn to process, aggregate, and distribute large volumes of data efficiently, moving beyond traditional ETL methods for instant insights.