
Explore automated data recovery and digital forensics techniques, enhancing efficiency in retrieving crucial information from digital sources for investigations and analysis.

Explore a secure method for password storage and validation, addressing enterprise challenges and potential attacks while discussing advantages and limitations.

Explore data analysis techniques for cybersecurity incidents, covering data collection, processing, and validation. Learn to generate meaningful statistics and uncover novel findings in security datasets.

Explore the hidden world of unpublished research and its impact on scientific understanding, revealing how industry bias skews our knowledge and affects decision-making.

Learn to build a security platform using Elastic Stack. Explore basic components, data ingestion tools, data management, and cluster security. Gain insights from an experienced developer on leveraging SIEM for effective security monitoring.

Learn to build a real-time analytics stack using Kafka, Storm, and Druid for fast, flexible, and reliable data processing. Discover how to combine these technologies with Hadoop for comprehensive analytics solutions.

Explore Google's Spanner: a planet-scale distributed database with innovative features like lock-free strong reads and globally consistent snapshots, enabled by GPS and atomic clocks.

Explore how citizens built a data portal to address Saint Louis' vacant property problem, unifying fragmented data for policymakers and residents alike.

Explore how the web enables open science, empowering anyone to access and analyze scientific data. Learn about tools and platforms that facilitate collaborative research and data visualization.

Explore rapid data destruction techniques for emergency situations, focusing on physical and digital methods to protect sensitive information in under a minute.

Explore scaling Prometheus for massive metrics installations, covering field hint indices, query push down, GitOps deployment, and lessons learned from eBay's journey to planet-scale observability.

Einblick in die APIs der Deutschen Bahn: Struktur, Einheitlichkeit und Anwendung am Beispiel von marudor.de. Analyse der Datengrundlage und ihrer Herausforderungen.

Explore IPLD, a data format for decentralized systems. Learn about its format layer, data model, and schema system to simplify building content-addressable storage and immutable data structures.

Netzwerküberwachung ohne SNMP: Verwendung von SSH, Python und ELK Stack für effektives Monitoring. Praxisnahe Einblicke in alternative Methoden zur Datenerfassung und -analyse von Netzwerkhardware.

Explore how Natural Language Processing and Word2Vec can organize unstructured cybersecurity intelligence, making it actionable by mapping to frameworks like MITRE ATT&CK.

Explore medical device hacking, FDA regulations, and cybersecurity in healthcare. Includes live demo of network attack and interactive code session on data integrity protection.

Explore secure channel cryptography, including key establishment, data protection, and essential properties. Learn about famous security bugs and recent improvements in SSH and TLS implementations.

Explore SAP HANA's in-memory database capabilities and learn how Red Hat Enterprise Linux for SAP Solutions enhances its performance, scalability, and integration for efficient data processing and analytics.

Explore Red Hat's AI strategy, covering its impact on open source, customer value, and industry transformation. Learn about AI pillars, applications, and recommendations for leveraging AI in business.

Explore how IoT drives innovation across industries, from wearables to smart cities. Learn about real-world solutions and their business impact through insights from technology leaders and Red Hat strategists.

Explore a microservices-based solution for scalable data and analytics, addressing challenges in data quality and management for informed business decisions.