
Learn to implement enterprise-level security monitoring using Security Onion, covering tools, data types, interfaces, and deployment strategies for effective threat detection and analysis.

Explore VMware architecture, vulnerabilities, and escape techniques. Learn about backdoors, PCI, HDFS, and Host Open exploits. Includes live demo and Metasploit module discussion.

Experts discuss practical applications of MITRE ATT&CK framework, sharing insights on improving cybersecurity operations, leveraging adversary knowledge, and enhancing organizational defense strategies.

Explore cyber-resilience strategies in an uncertain world, integrating human expertise with machine learning for effective security orchestration and incident response.

Explore proactive strategies using Big Data and analytics to defend against insider threats in organizations, evolving beyond traditional security measures.

Explore genomic data security in the cloud, addressing challenges, threats, and compliance for unlocking medical breakthroughs while protecting sensitive genetic information.

Explore the parallels between wireless telegraphy and Apache Pulsar, uncovering design principles for distributed, low-latency messaging systems. Gain insights into Pulsar's architecture, features, and future potential.

Explore LinkedIn's Brooklin: a scalable, extensible data streaming service supporting multiple sources and destinations for near real-time data movement and change data capture.

Explore Crux, an open-source document database with bitemporal graph queries. Learn about its design, implementation, and future directions for efficient temporal data management in streaming architectures.

Exploring data security through nuclear isolation techniques, this talk presents innovative approaches to protect sensitive information and ensure controlled data manipulation in modern data science.

Explore Netflix's innovative approach to detecting anomalies in complex distributed systems using stream processing and simple algorithms, without relying on machine learning.

Investigative data journalist shares insights on analyzing big data, focusing on outliers to uncover bugs or unique user behaviors, using examples from Iraq War Logs and FIFA Files.

Explore Kafka's exactly-once semantics, including idempotence and transactions. Learn about distributed transaction mechanics, two-phase commit protocols, and future improvements for stream processing.

Explore function-passing style for distributed programming, leveraging Scala's type system and language features to enable safe, asynchronous computation on immutable data across distributed environments.

Explore stream processing challenges and solutions at internet scale, covering event ingestion, real-time data processing, and performance optimization techniques for large-scale applications.

Explore Apache Kafka's event streaming platform for .NET developers, covering architecture, pub/sub messaging, and real-time stream processing applications at scale.

Explore DevOps principles for Big Data Analytical Pipelines using Azure Data Platform, including Data Factory, Databricks, and Data Lake Gen2. Learn to build and operationalize multi-source Modern Data Warehouses.

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.

Explore 13 functional programming techniques through turtle graphics implementations, from partial application to interpreter patterns, in this comprehensive overview for FP-curious developers.

Explore GraphQL schema stitching with Hot Chocolate on ASP.Net Core, learning to create a unified API from multiple services and external APIs for efficient data fetching and management.

Comprehensive exploration of Apache Kafka ecosystem, covering core concepts, APIs, stream processing, and integration tools. Includes demos and practical insights for building robust data streaming platforms.