People are such an important aspect of data analytics. I was reminded of this at the recent Strata+Hadoop World event, where I saw first hand that the UK is indeed facing the same skills gaps as elsewhere in the world. Perhaps that didn’t surprise me, but I also noticed the different journey the UK has taken to adopting big data analytics.
Without delving too deeply into the UK's use of big data analytics as compared to other markets, we can see at least one stark difference: that the late adoption of big data has been a help, not a hindrance. While US companies might have vast amounts of data to work through, in general, UK companies are not facing this same scale of project quite as often. Instead, the UK is mainly facing the complexities of incorporating and consolidating a wide variety of distributed data – from a variety of different sources and located in different parts of the business.
Thanks to its late arrival at the party, data analysts in UK businesses can look at the experiences of US companies and learn from how they’ve overcome those challenges of volume and complexity.
UK businesses are skipping the experimentation stage and jumping straight to an understanding that it’s not big data and analytics, but that the two come hand in hand. In doing so, the skills held by data scientists in the UK are less likely to have that gap in understanding. In the US, there remains some long-held confusion that the two are separate projects despite having more hands-on trial-and-error experience.
Combining big data and analytics won’t be everything that UK companies need to accomplish to be successful, of course.
I also recommend focusing on the ABVs for the aspiring Hadoopist.
- Agility: Hadoop evolves at an incredible rate, so to keep up you need to be flexible.
- Balance: It’s important to maintain a balance whether it’s between older/newer tech, or maintaining the status quo and being innovative.
- Vision: The art and power of imagination, along with the ability to negotiate multiple fields of vision, will arm you with the tools to be a successful Hadoopist.
These principles, developed as a result of the experiences of Hadoopists, data scientists and data analytics projects, provide a framework for successful Hadoop projects and everyone, wherever they are from, should bear them in mind.
You’ll notice these ABVs are not about the data, the method, or the data source, but the people. Today, two-thirds of the issues listed as barriers to success are people-related, not technology related. Though UK data analytics projects are on a different journey, people and skills remain at the centre of how that journey develops. So even though the UK might be lagging behind the US in big data implementations, the understanding that analytics is inextricably linked to Hadoop will stand the UK in good stead for the future.
If you missed it, you can watch a video of my session at Strata+Hadoop World below.
For a more in-depth view of making Hadoop work for your business (whether you’re in the UK or not), take a look at our report, "Bringing the Power of SAS to Hadoop."