Data Engineering Roadmap and Full Course with Python and SQL for 2024
Comprehensive guide to data engineering, covering Python, SQL, big data technologies, cloud platforms, and data warehousing tools. Includes hands-on tutorials and real-world projects for practical skill development.
Securing Your Big Data Environment
Explore strategies for securing big data environments, focusing on Hadoop. Learn about control frameworks, data protection techniques, and effective risk management for sensitive information.
Something Wicked - Defensible Social Architecture in the Context of Big Data, Behavioral Econ, Bot Hives, and Bad Actors
Explore defensible social architecture in the era of big data, behavioral economics, bot hives, and malicious actors with insights on protecting digital ecosystems.
How Data Is Helping Us Unravel the Mysteries of the Brain
Geneticist explores brain complexities as a big data opportunity, developing technologies to uncover cells and molecules crucial in mental illnesses, driving data-driven approaches for new treatments.
The Metadata Trap - Whistleblowers in the Age of Surveillance and Big Data
Explores surveillance challenges for whistleblowers, analyzing evidence used in US prosecutions and discussing global implications for privacy and information security in the digital age.
Building a Security Platform with Elastic Stack - Part 1
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.
The Unbelievable Insecurity of the Big Data Stack
Explore new attack vectors in Big Data infrastructure layers, addressing the lack of security assessment methodologies and technical resources for this rapidly growing field.
Flare - Optimizing Apache Spark for Scale-Up Architectures and Medium-Size Data
Optimizing Apache Spark for medium-size data on single powerful servers. Flare accelerator module delivers significant speedups using code generation techniques inspired by main-memory database systems.
Building Real-time Systems with Open Source Technologies
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.
Riding the Stream Processing Wave
Explore LinkedIn's stream processing challenges, innovations in machine learning applications, and advancements in nearline processing. Learn about state management and offline-online convergence in large-scale data systems.
Changing the Engine in Flight - Rebuilding Monitoring at Scale
Explore real-time data processing architecture for high-traffic monitoring, including distributed systems, Go-based microservices, and Kafka with ElasticSearch. Learn from successes and failures in upgrading monitoring systems.
Ludicrous Speed - Designing For Performance on the JVM
Explore JVM performance optimization, memory models, and concurrency for high-speed software. Learn from real-world experiences in scaling and tuning massive real-time analytics systems.
Turning the Database Inside Out with Apache Samza
Explore a new approach to database architecture using Apache Samza, transforming traditional models into real-time stream processing for improved scalability, robustness, and data flexibility.
Adaptive Concurrency Control for Mixed Analytical Workloads
Explore adaptive concurrency control for real-time analytics, addressing timeouts in mixed workloads. Learn iterative improvements for better user experience in query services.
Network Monitoring via SSH and ELK
Netzwerküberwachung ohne SNMP: Verwendung von SSH, Python und ELK Stack für effektives Monitoring. Praxisnahe Einblicke in alternative Methoden zur Datenerfassung und -analyse von Netzwerkhardware.
Profiling VIP Accounts Access Patterns in User-Centric Data Streams
Innovative real-time analysis technique for detecting compromised privileged accounts using Kafka streaming, enabling scalable, per-account risk assessment and evolving individual risk profiles.
The 5 Most Dangerous New Attack Techniques, and What's to Come
Experts from SANS Institute discuss the most dangerous new attack techniques, including hardware attacks, big data weaponization, crypto mining, ICS safety threats, and cloud breaches, offering insights on defeating these evolving threats.
Astrophysics and Algorithms
Explore how computer science and big data revolutionize astrophysics, unlocking new insights into the universe and advancing scientific discovery across multiple fields.
Hot Topics in Containers, OpenStack, and Hadoop
Explore hot topics in container technology, OpenStack, and Hadoop, including new projects, communities, and products. Learn about deployment challenges and key benefits.
The Intersection of Business Rules Management and Big Data
Explore integrating JBoss BRMS with Hadoop for real-time decision-making in big data environments, focusing on anti-money laundering in financial services and retail applications.
An Eventful Tour from Enterprise Integration to Serverless Computing
Explore the evolution of messaging and event-driven architecture, from enterprise integration to serverless computing, with practical insights for building on Red Hat OpenShift.