Keep Calm & Instrument: An Idiot’s Guide to Identifying Themes in Every New President or CEO Job

I got asked yesterday what it’s like getting airdropped into a job with little visibility. The funny thing is, I can’t really remember when the last time I wasn't in such a maneuver. It doesn't matter what the company’s size is or your responsibilities in the company -- it’s very rare to have the full [...]

Guy Churchward | 
July 24th, 2017|Big Data in Everyday Life|0 Comments

Gladwell’s 10,000-hours, Real-time Streaming Style

This weekend wifey and I spent time cleaning a bookcase. Yup, I know it's not the most exciting task but some things just need to be done. Amongst the books on bee keeping, chicken breeding, and idiots guide to raising Bulldogs were a bunch of business related books. Now, I am not a big subscriber [...]

Guy Churchward | 
July 12th, 2017|Big Data in Everyday Life|0 Comments

Learn, Teach, Replicate, Free Yourself, Rinse and Repeat

Some number of years ago, I got caught by my boss cramming on a technical topic. He asked me what I was doing, and I responded in a rather smug way that I was learning something, so I knew it better than anyone else; therefore, I was invaluable and indispensable. He remarked that I had [...]

Guy Churchward | 
June 20th, 2017|Big Data in Everyday Life|0 Comments

Shift Happens

A client conversation & subsequent LinkedIn post below got me tapping at my iPad again... What triggered this exchange was me asking, "How much time is there between data created and insight garnered?" His response "approximately 60ms" totally confused me! I quizzed him on the data pipeline. He said they use Kafka to Apex to [...]

Guy Churchward | 
June 5th, 2017|Big Data in Everyday Life|0 Comments

Shifting Left is Easier than Shooting Fish in a Barrel

Most companies use an Extract, Transform, Load (ETL) model for analytics that was likely implemented a good handful of years back with the "then" established technologies. Throwing everything blindly into a data lake and poking at the data and calling this a sorted answer is analogous to doing the robot dance at a family gathering [...]

Guy Churchward | 
May 22nd, 2017|Big Data in Everyday Life|1 Comment

Smashing Industry Myths and Introducing a Killer Customer Adoption Program

It's been a fantastic voyage back to the complex and exciting world of data analytics. I’ve learned that it doesn't matter what the latest trend is, Big Data, Machine Learning, IoT, Fog Computing… everything seems to loop back to the critical need for analytics. And when I say analytics, I mean real-time analytics, not real-time [...]

Guy Churchward | 
May 17th, 2017|Big Data in Everyday Life|0 Comments

Time Stands Still for No Man

'And te tide and te time þat tu iboren were, schal beon iblescet' Yup that makes absolutely no sense to me either but it’s pre-English language and is the first literal use of “time stands still for no man.” Things seem to be moving at an increasing pace now, and nothing epitomizes this more than [...]

Guy Churchward | 
May 15th, 2017|Big Data in Everyday Life|0 Comments

“Just Gotta Have It”

There are moments in life when you see something and think “I gotta have one of those”… The first time I remember this happened to me (outside of Refresher chews, Zoom lollipops, and a Knickerbocker glory) was with my dad when we visited a friend of his in a little English village called Elston. His [...]

Guy Churchward | 
May 9th, 2017|Big Data in Everyday Life|0 Comments

Real-Time Analytics vs. Real-Time Analytics

Being now back and totally immersed in the world of data analytics and the subtleties of streaming, real-time, at rest, batch, micro-batch, etc., it continues to amuse me to see the gap between vendor marketing and reality. Not to mention the delta between customers assumptions and the reality of their current solutions. To help bridge [...]

Guy Churchward | 
May 3rd, 2017|Big Data in Everyday Life|0 Comments

SQL on Apache Apex

History Big Data has an interesting history. In the past few years, massive amounts of data have been generated for processing and analytics, and enterprises have been facing problems processing ever increasing data size. In order to process this increasing data size, the way was to scale up but scaling up was costly and resulted [...]

Chinmay Kolhatkar | 
January 13th, 2017|Big Data in Everyday Life|2 Comments