Large Scale Data Processing with Hadoop and PHP
Learn to process large-scale data efficiently using Hadoop and PHP. Explore techniques for handling big data challenges and optimizing performance in distributed computing environments.
Big Data Web - Big Data Science - Big Data Mining
Exploring big data science and mining techniques in PHP, with focus on creating value from data itself and unlocking collective wisdom across industries.
Application Logging and Logstash
Explore effective application logging strategies, from basics to advanced techniques using Logstash and Kibana. Learn to plan, implement, and leverage logs for debugging and monitoring complex web applications.
The Reactive Revolution
Explore reactive programming in Spring 5, covering WebFlux, Data Kay, Security 5.0, Boot 2.0, and Cloud Finchley. Learn to handle IO-bound work and network faults in microservices and big data applications.
Using ELSA for Fun & Profit
Explore advanced ELSA features for security analysis, including Elasticsearch integration, improved syslog-ng, containerization, and new visualization tools like Ankey and geo mapping.
Elasticsearch - Beyond Full-text Search
Discover Elasticsearch's advanced capabilities beyond full-text search, including real-time analytics and scalable applications used by major tech companies like SoundCloud and GitHub.
A Taste of Random Decision Forests on Apache Spark
Explore Random Decision Forests on Apache Spark with Sean Owen. Learn about decision trees, feature vectors, model interpretation, and hyperparameter tuning for machine learning in distributed environments.
Make Sense of Your Logs - From Zero to Hero in Less Than an Hour
Discover how to effectively analyze and make sense of big data using Elasticsearch, Logstash, and Kibana in this insightful presentation on distributed log analysis techniques.
Designing & Evolving a User-oriented API in Elasticsearch
Insights on creating user-friendly APIs for distributed systems, using Elasticsearch as a case study. Learn about balancing power and simplicity in open-source software design.
Explorations in Interactive Visual Analytics
Exploración interactiva de análisis visual de big data, abordando desafíos técnicos y humanos para científicos de datos. Presenta técnicas de visualización, principios de diseño y flujos de trabajo para analizar eficazmente grandes volúmenes de informaci…
Deep Dive into the Big Data Landscape
Explore the evolving Big Data landscape, including Hadoop, NoSQL, Spark, and SQL-based options. Learn about trends, tools, and technologies for solving complex data problems at scale.
100% Big Data - 0% Hadoop - 0% Java
Explore alternative approaches to handling large, unstructured data without Hadoop or Java. Learn practical tools and techniques for collecting, mining, storing, and provisioning big data efficiently.
Runaway Complexity in Big Data Systems and a Plan to Stop It
Explore strategies to combat complexity in big data systems, focusing on immutability, the Lambda Architecture, and a combination of batch and real-time processing for more efficient data management.
Big Data - Challenges & Opportunities
Explores Big Data's potential, challenges, and societal impact. Discusses volume, privacy, talent shortage, and technical issues. Examines promising sectors and the balance between corporate interests and social good.
The Big Data Developer
Explore big data technologies beyond Map/Reduce and NoSQL, understanding their practical applications and potential for innovation in data-driven businesses.
Solving Real and Big Data Problems Using Hadoop
Explore real-world applications of Hadoop for big data analysis, including social media insights and scalable data processing. Learn how to leverage Hadoop for valuable business insights.
Navigating Unstructured Data - Availability vs Analytics in NoSQL
Explore factors affecting database technology choices, focusing on distributed systems and prioritizing availability vs. analytics in NoSQL environments for unstructured data workloads.
GS Collections & Java 8 - Functional, Fluent, Friendly & Fun
Explore GS Collections and Java 8's functional programming features for improved productivity, memory efficiency, and performance in this technical presentation.
Data Science at Scala with Spark
Explore Apache Spark's advantages over MapReduce for big data processing, including improved performance, developer productivity, and support for diverse application scenarios like stream processing and graph analytics.
Professional Data - Wrestling Techniques Using Elasticsearch's Aggregation Framework
Explore Elasticsearch's Aggregation Framework for powerful data analysis. Learn techniques to extract insights from large datasets, including housing, crime, emails, and movie recommendations.
Deeper Data Dimensions with Kibana
Explore open-source log analysis with Kibana in this demo-heavy session. Learn about past, present, and future developments for efficient data visualization and analysis.