Fast Delivery
Explore high-velocity software delivery through innovative culture, data-driven decisions, agile development, and microservices architecture. Learn from Netflix's success and apply these principles to scale your team and accelerate deployment.
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.
Fast Analytics On Big Data
Explore fast analytics on big data using an open-source platform for in-memory distributed data processing, enabling efficient predictive modeling and analytics on large-scale datasets.
Following Google or Don't Follow the Followers, Follow the Leader
Explores data management challenges in the digital age, discussing scale, speed, persistence, and context. Critiques current trends and technologies, emphasizing the importance of understanding data's lifecycle and structure.
Moving Faster - Why Intent Media Chose Cascalog
Explore Intent Media's journey to Cascalog for data processing and machine learning, comparing various technologies and showcasing practical Cascalog examples.
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.
The Future of Security Isn't Preventing Attacks
Explores shifting security focus from prevention to detection and remediation. Discusses building threat intelligence and preparing for inevitable system compromises.
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.
What Finance Can Learn From Dating Sites
Explore how finance can leverage data-driven techniques from dating sites for improved matching, risk analysis, and fraud detection using graph databases and sophisticated algorithms.
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.
Computing Professional Identity for the Economic Graph
Explore LinkedIn's Economic Graph: mapping connections between professionals, companies, jobs, skills, and knowledge to revolutionize the global workforce landscape.
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.
Scalable Data Science and Deep Learning with H2O
Explore scalable machine learning and deep learning with H2O, featuring in-memory compression, multi-language support, and interactive workflows for efficient data analysis and predictive modeling.
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.
Shield Your Cluster - Security and Elasticsearch
Comprehensive guide to securing Elasticsearch clusters, covering authentication, access control, and integration. Explores various security measures and their implementation in ELK environments.