Big Data is like a turkey ...

We are very fortunate to have a pithy holiday post from an amazing guest cross-columnist: Dan Gordon (@pipik).

Since a lot of people grumble about the "Big Data" meme -- "what is this _big_ data anyhow" -- I thought an analogy might help.

Big Data:Data::turkeys:chickens

A turkey is "really" just a big chicken. Same limbs. Same white and dark meat, same spices and herbs, similar taste.

But the scale of the turkey introduces new problems and requires new solutions:

Will it fit in your oven? Will anything else fit in your oven if the turkey is there? Where will you cook the others things if they won't fit? Do you have a roasting pan and rack big enough for a turkey? Can you muscle the turkey up and down-stairs to brine it in the cooler (the only place it will fit)?

Ok, I won't belabor the point: Big Data is different from data because the scale means your old techniques won't always work.

 


If you would like to read more of Dan's wisdom, jump over here.

Dan's Bio: Dan Gordon has over thirty years of experience working with technology, as a computer scientist, software developer, manager, analyst, and entrepreneur.

Prior to joining Valhalla Partners as Director or Research, Dan was a Director and senior staff member at the PricewaterhouseCoopers Global Technology Centre, analyzing technology trends and consulting on technology-oriented strategies in the software, e-business, wireless, optical, networking, semiconductor IP, and life sciences arenas. He worked with clients from North America, Europe, the Middle East, and Australia. Dan was a Contributing Writer and Contributing Editor to the Technology Centre's annual Technology Forecast, and a frequent speaker at industry and general business meetings.

Prior to joining PwC, Dan spent 20 years in Silicon Valley as a software technologist, manager, director, and entrepreneur, including senior technical roles at well-known Silicon Valley firms like Symantec, Intuit, and Oracle. Dan has also been involved in startup companies in the applied Artificial Intelligence and Web applications fields.

Dan has a B.A cum laude from Harvard University and an M.S. degree from New York University in Computer Science. He is a Professional Member of the IEEE and ACM.