DATA SPEAK – I spend the majority of my day talking about APIs, taxonomies, classification, relevance, clustering, parsing, matching, algorithms, synchronous, asynchronous, on-demand, scale scale scale… it’s a language in itself and all of you reading this probably know exactly what I’m talking about.
Anyone in the data space takes pride in this unique and creative vernacular, and don’t get me wrong – I love geeking out over some data as much as the next guy. But while attending a big data networking event last week, it hit me that an outsider looking in would be absolutely confused if they listened to any of the random conversations taking place around the room. Our data could easily be mistaken for a new sports car, a super smart child, a favorite winter coat, or a pet that performs special tricks.
Some conversations focused on the depth, breadth, and richness of one’s data while others discussed its velocity, voracity, and acceleration. “Is your data RESTful?”, one man asked – “absolutely, whose isn’t?!”, I replied. “My data is elegant, clean, and extremely fresh”, an attendee exclaimed – “that’s great but mine is MASSIVE, structured, and extremely precise”, another proud data geek chimed in. In that moment, I was overwhelmed by a feeling of déjà vu and taken back a decade to any one of the many Indian weddings I attended where my wonderful mother would extol my virtues as a suitable match for marriage to anyone with a daughter. We would be in so much trouble if our data could date – or at least secretly, that is our hope. At Indix, our data is built for speed, agility, accuracy, performance, and just an overall good time. 🙂
Ok, at this point, my data has a headache so I might lie down. Have a fantastic Thanksgiving! And please, always describe your data with passion and vigor – it’s the very least you can do.