Series
QCon São Paulo 2014
Seven notes from QConSP 2014: the opening day, data science programs at NASA JPL, real-time data with Storm, Impala on HDFS, scaling League of Legends, a graph-based recommendation system, and the wider Hadoop ecosystem.
7 posts in total
Posts in this series, in order
QConSP 2014! It's started!
Dive into QCon São Paulo 2014 highlights—exploring cutting-edge talks on scalability, data science, and software architecture from industry leaders and innovative companies
Building a Data Science Program at NASA/JPL with Visual Analysis
Discover how NASA/JPL transforms dark data into actionable insights—building data science programs that empower specialists, facilitate discovery, and turn massive space datasets into public knowledge
Real-time Data Science with Storm
Master real-time data processing with Apache Storm—learn spouts, bolts, topologies, and parallelism strategies to handle millions of tuples per day with fault-tolerant stream processing
How Impala Has Pushed HDFS in New Directions
Explore how Cloudera Impala revolutionizes HDFS performance—achieving 5-50x speed improvements through low-latency queries, memory optimization, and distributed processing innovations
Scaling League of Legends: managing culture, extreme complexity and active users
Learn how Riot Games scales League of Legends to 30 million active users—managing extreme technical complexity while maintaining engineering culture and team cohesion at massive scale
An Recommendation System for Products based on graphs: Titan, Cassandra, Redis and Hadoop in production
Build production-ready recommendation systems using graph databases—implementing Titan, Cassandra, Redis, and Hadoop with Gremlin traversals to discover "who saw, also saw" patterns at scale
Hadoop and the Big Data Ecosystem
Navigate the Hadoop ecosystem evolution—from Google's MapReduce origins to modern frameworks like Spark, Sqoop, and Flume that handle terabytes of data with KISS principles