A Practical Introduction to Akka Streams
Explore Akka Streams through live coding, covering basics and advanced uses in reactive stream processing. Learn practical implementation techniques for real-world scenarios.
Anomaly Detection in Real Time - Simplicity Is the Ultimate Sophistication
Aprenda a detectar anomalias em tempo real usando técnicas simples e eficazes. Descubra como criar um modelo estatístico para monitorar tráfego web, eventos de busca e cliques em anúncios.
What Can We Learn from 750 Billion GitHub Events and 42 TB of Code
Explore GitHub's vast dataset to gain insights on coding patterns, project design, community dynamics, and effective collaboration in open-source development.
Data Science Is Easy Right
Explore past, present, and future of Data Science, focusing on successful innovation patterns, technology frameworks, and emerging trends like cognitive AI and Deep Learning.
Real World Use Cases for Tachyon - A Memory-Centric Distributed Storage System
Explore Tachyon, a memory-centric distributed storage system for fast big data processing. Learn about its architecture, features, and real-world applications in various industries.
Decoding the Air Around You with Java and $7 Hardware
Explore software-defined radio using cheap hardware to decode maritime and aviation signals, visualizing real-time ship and airplane data in a web application.
Back to BASICS - Back-pressured Asynchronous Scalable Immutable Composable Streams
Explore fast data streaming with Akka Streams, designing robust transformation pipelines with flow control. Learn to create immutable processing logic and compose reusable stream transformations that leverage multicore hardware.
Get Reactive
Explore RxJava and RxAndroid for building maintainable Android apps. Learn about Observables, error handling, testing, and practical implementations using MVP architecture.
Towards a Rebirth of Data Science
Exploring the evolution of Data Science methodologies and tools in the age of Big Data, emphasizing rapid insights and value delivery in high-velocity data environments.
Shooting the Rapids
Explore Java 8 streams for efficient data processing, analyzing performance factors and implementation stages to optimize stream usage and parallelization in practical programming scenarios.
Dive into Spark Streaming
Explore Spark Streaming's API, real-time data processing challenges, and key internal processes for successful production deployment through practical examples.
Distributed Machine Learning 101 Using Apache Spark from a Browser
Explore introductory machine learning concepts and their application at scale using Apache Spark, with hands-on examples in interactive notebooks for real-world distributed data processing.
Second Generation Workflow Managers for Big Data
Explore modern Python-based workflow managers for big data, focusing on Luigi from Spotify, with comparisons to Pinball and Airflow. Learn about agile and extendable tools for efficient job scheduling.
Testing Microservices with a Citrus Twist
Explore automated integration testing for Microservices using Citrus framework. Learn to manage complex scenarios, interact with various services, and leverage Docker integration for efficient API testing.
Visualization IoT Data With Minecraft
Explore innovative ways to visualize IoT data using Minecraft on Raspberry Pi, moving beyond traditional charts to interactive 3D representations.
The Truth About MapReduce Performance on SSDs
Investigates SSD performance for MapReduce workloads, comparing to HDDs. Presents benchmarking method, cost-per-performance metrics, and quantifies SSD advantages in data processing efficiency.
Dear Fellow White People
Thought-provoking exploration of white privilege and its global impact, challenging viewers to acknowledge and address systemic inequalities affecting communities in the Global South.
Using Maths to Save the Planet
Discover how mathematical modeling predicts ocean pollution patterns, enabling targeted cleanup efforts and environmental protection. Learn to apply these problem-solving techniques to various real-world challenges.
The Top 5 Things I Learned While Building Anomaly Detection Algorithms for IT Ops
Insights on building effective anomaly detection algorithms for IT operations, covering common challenges, Gaussian techniques, and non-parametric methods for improved signal extraction from metric data.
Rethinking Metrics - Metrics 2.0
Explore innovative approaches to organize and leverage metrics for enhanced data visualization, automated dashboards, and advanced fault detection in complex systems.
IP Traffic Visualizers from Utah State University
Overview of two IP visualization tools for displaying network addresses and traffic flow, created at Utah State University to enhance network monitoring and analysis capabilities.