Author Archives: Grease Monkey

Today were going to look at parts of a complex “nudge” script as I’ve described previously. It has a few more bells and whistles and constantly amazes me how well it adapts. I’ll show the good bits in sections so … Continue reading →

A burger and fries costs $1.10; the burger costs $1 more than the fries. How much do the fries cost? 5 servers can sort 5 TB of data in 5 minutes; how long would 100 servers take to sort 100 … Continue reading →

Graph databases are a really neat concept. We’ve started playing with Neo here as we attempt to link customers with visits and actions based on those visits. It seems like a really good fit at first glance. Our challenge is … Continue reading →

The second definition of nudge, according to Webster, is to “prod lightly: urge into action.” We use that concept in our data environments for various long running processes; for things that we want to happen frequently, but with an unknown … Continue reading →

AWS Redshift has been popular lately around my current gig. We’ve got a couple of clusters in use and a few more in POC mode. The in-use clusters are easy to justify pre-paid instances. A few thousand dollars and you … Continue reading →

We have a vendor sending us daily updates on shipping info. We have a well known and defined structure for each type of data and those types map neatly to tables in our database. We have about 9 tables that … Continue reading →

I’ve heard about MapR for a long time and haven’t given it much consideration vs. OSS stacks. I reconsidering my position and conduction some evaluations. Why? MaprFS is a real POSIX File system that runs on Raw devices, not atop … Continue reading →

Full disclosure, I cut my teeth on Slackware and Redhat in the mid 90’s.  I even tried Yggdrasil once.  That being said… I fully fail to understand the allure of Ubuntu or it’s Mommy distro, Debian.  Yes I know Ubuntu … Continue reading →

We haven’t quite jumped the shark yet, but this is going to be full of buzzwords. Started a new gig where we’re building Dev, POC and possibly some prod clusters on AWS. Once again the first 80% of this was … Continue reading →

I’ve been watching the Hadoop user mailing lists and jira counts. It sure seems like 2.0 GA is more like 2.0 Beta 1. I’m looking forward to RC 1 before we move it into a serious cluster. Just my $0.02.