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HPCC Systems blog contributors are engineers, data scientists, and fellow community members who want to share knowledge, tips, and other helpful information happening in the HPCC Systems community. Check this blog regularly for insights into how HPCC Systems technology can put big data analytics to work for your own needs.

David Bayliss on 03/27/2015

Note: This entry pertains to HIPIE which is an upcoming paid module for HPCC Systems Enterprise Edition Version.

David Bayliss on 12/16/2014

The other evening my family was watching some of our younger tortoises acclimatize to a new enclosure. One of them fell off of a log and face-planted into some recently dropped fecal matter. Far from being perturbed she immediately opened her mouth and started eating. My teenage son was entirely grossed and exclaimed: “Ew; she’s eating poop!” My wife, looking somewhat perplexed responded: “Yes, and that’s not even the good stuff!”

David Bayliss on 05/14/2014

If you are familiar with other graph systems and have you not read any of my previous blogs please do not read this one. If you do you will rapidly convince yourself that for some inexplicable reason KEL is far more complex than all the other systems.

David Bayliss on 04/21/2014

I once opened a meeting of extremely senior folks all of whom specialized in large scale graph analytics by stating: “There is no such thing as an interesting large scale graph problem; but there are lots of huge graphs containing interesting small problems that we can’t find.” My statement was clearly hyperbolic and exceptions do exist although I would contend it is rather closer to the truth than most people would like to admit.

David Bayliss on 03/27/2014

If you have digested my blog on The Wayward Chicken then as you gaze out upon GraphLand you should no longer be thinking of a land of clearings connect via a maze of pathways. Rather we have a modern industrial landscape; every node is a factory with a rail link to the neighboring factories. Raw goods (data) regularly travel towards each node to be processed into a more refined good which may in turn become the raw material for a neighboring factory.

David Bayliss on 03/14/2014

The other evening I was distracted from a lengthy debug session by a commotion coming from the chicken coop. I raced out the door fearful that some local predator had decided to attempt to steal some dinner. I discovered no such thing; rather ‘the girls’ were all agitating to get out of the coop. In my concentration I had forgotten that it was past the time they are normally allowed out for their daily forage.

David Bayliss on 02/26/2014

Well over a decade ago, I had the privilege of being one of the first programmers to use ECL. A new language at a new level of abstraction allowed us to think about data absent of process. We were no longer working in the realm of time and method, but in the realm of data. We wanted a name for this place that our minds could now wander; so we called it ‘Dataland’.

David Bayliss on 10/05/2011

I personally hate the Amazon recommendation system. As someone who has half a dozen major hobbies, who buys a lot of technical books, even more theology books, books for four different children and whose wife is an English teacher the recommendations when I log in to Amazon are rather more eclectic than if they picked half a dozen books at random.

David Bayliss on 08/23/2011

A recent forum question asked if it were possible to concatenate all of the fields of a file without having to type them all in. In that particular case the fields were fixed length and the same type so our compiler writer was able to advise the use of a type transfer – simple, slick and efficient.

David Bayliss on 07/20/2011

There is a movement that says there should be one, and only one, way to perform any given task. This concept, famously championed by Python, has some merit. It allows for simple and easily understandable language syntax and it tends to mean that short stretches of code have an obvious semantic.