Factual | Profiling Hadoop Jobs With Riemann
Factual processes nontrivial amounts of data. Our analyses may range over 1011 records, reading hundreds of gigabytes to hundreds of terabytes of source data and intermediate representations. At this scale, performance optimizations can save us significant time and money. We use VisualVM, jhat, and Yourkit for memory and CPU profiling, and the excellent Criterium for microbenchmarks in Clojure. Th
Factual | Introducing Drake, a Kind of ‘Make for Data’
Processing data can be a real a mess! Here at Factual we’ve felt the pain of managing data workflows for a very long time. Here are just a few of the issues: a multitude of steps, with complicated dependencies code and input can change frequently — it’s tiring and error-prone to figure out what needs to be re-built inputs scattered all over (home directories, NFS, HDFS, etc.), tough to maintain, t
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"Jepsen II: Linearizable Boogaloo" by Kyle Kingsbury
Clojure Engineers Needed at Factual // Functional Jobs
Cascalog: Logic Programming over Hadoop
Cascalog
Factual | Slides from Clojure/West – Cascalog Logic Programming over Hadoop
Dedupe, Merge, and Purge: the Art of Normalization Video from Strata NYC 2011 - Factual Blog
