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Article By: Tamara Dull
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."
Finally, check out some related blog posts on the importance of getting the right people on your big data team, whether the skills gap will kill Hadoop, and the need to close the big data skills gap.
Source : http://blogs.sas.com/content/sastraining
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