Using Machine Learning Solutions to Solve Serious Security Problems
Explore machine learning applications in cybersecurity, focusing on anti-cheat systems, big data analysis with Hadoop, and anomaly detection using decision trees and SVMs for enhanced threat prevention.
Applying Big Data Technology to Security Use Case
Explore big data technologies for security, covering databases, Hadoop, MapReduce, and Hive. Learn design patterns and machine learning applications in cybersecurity.
The Answer is 42 - InfoSec Data Visualization Making Metric Magic Business Decisions
Explore InfoSec data visualization techniques to transform security metrics into actionable business insights, enhancing decision-making and communication with leadership.
Contextual Threat Intelligence - Building a Data Science Capability into the Hunt Team
Learn to build a data science capability into your threat hunting team, enhancing intelligence gathering and analysis for improved cybersecurity operations and threat detection.
Technological Changes that Affect Forensic Investigations
Explore technological advancements impacting forensic investigations, from IoT and connected cars to biometrics and big data, addressing challenges and opportunities in digital evidence collection.
Arming Small Security Programs - Network Baseline - Matt Domko
Learn to establish network baselines for small security programs, covering malware detection, logging, and traffic analysis using tools like Bro and Security Onion.
Big Data's Big Problems
Explore the challenges and implications of big data, from digital exhaust to algorithmic transparency, and its impact on human interests and destiny.
Analyzing Pwned Passwords with Apache Spark
Learn to analyze compromised passwords using Apache Spark, exploring data visualization, password policies, and big data security challenges for improved cybersecurity practices.
Re-Architecting Big Environments
Explore 5 architectural approaches for enhancing legacy systems with modern capabilities, illustrated through data replication and UI renovation examples from industry experts.
Billing the Cloud
Explore stream processing for cloud resource billing with Exoscale's approach. Learn about considered options, implementation rationale, and real-world application in this insightful talk.
Processing Big Data from Space
Explore high-performance computing challenges in processing vast satellite data for Earth observation, climate research, and atmospheric studies. Learn about innovative solutions and applications.
You Have Big Data Now What
Explore data warehousing, ETL tools, and visualization techniques for managing big data. Learn about Smart Data, applying ML models, and real-life project examples from 2007 to present.
Stateful and Reactive Stream Processing Applications Without a Database
Explore stateful & reactive stream processing without databases. Learn to architect continuous, reactive applications using modern tech stacks like Kafka Streams, Spring Boot, and more.
How to Make Decisions in Real-time While Processing 30 Million Requests per Minute
Explore real-time decision-making techniques for high-volume data processing, featuring Kafka, Spark Streaming, and Aerospike to optimize system performance and reduce infrastructure costs.
Remaining Challenges in Deep Learning Based NLP
Explores remaining challenges in Deep Learning-based NLP, including data limitations, performance metrics, robustness issues, representation problems, and lack of interpretability, despite recent advancements and media hype.
Building a Large Music Recommender Leveraging AI, Deep Learning and Human Expertise
Explore Pandora's sophisticated music recommendation system, combining AI, deep learning, and human expertise to deliver personalized listening experiences based on vast user data and musicological insights.
Snap ML - A Highly-Accelerated, Scalable Software Library for Machine Learning
Discover Snap ML, a high-performance framework for training generalized linear models. Learn about its GPU acceleration, pipelining, and distributed computing capabilities for faster machine learning on large-scale datasets.
Building a Data Platform with Apache Spark on Kubernetes
Explore building a data platform using Apache Spark on Kubernetes, focusing on challenges and solutions for managing on-demand Spark clusters and Jupyter Notebooks in containerized environments.
Introduction to Stream Processing with Apache Flink
Explore Apache Flink's powerful stream processing capabilities, from basic concepts to advanced features. Learn how industry leaders leverage Flink for resilient, scalable data pipelines and stateful applications.
Beyond Logs - Real Time Anomaly Detection without Migraines
Explore real-time anomaly detection techniques for efficient system monitoring, focusing on advanced methods beyond traditional log analysis to enhance operational reliability and performance.
Practical Pipelines - A Houseplant Soil Alerting System with ksqlDB
Learn to build a real-time soil moisture monitoring system for houseplants using ksqlDB, exploring stream processing concepts and practical IoT applications.