Seventhman Blog

Are You Ready for the Big Data Transition?

"big data challenge"Much has been said about big data that it feels like a giant black hole pulling you into a world of confusion.  If there’s one thing that business owners and network managers could agree on, it’s this: They’re not ready yet… in facing these big transformations in technology, namely: big data, cloud, security, mobility and data management.  The biggest challenge now is how can you prepare for the future of big data – today?  The government may know everything about people using the internet, but they may also face the same challenges.  How can you really adopt big data solutions to enhance the way you do business?  That’s the bottom line.

When Talent Scarcity Meets Big Data Hype

It might surprise you that many are feeling overwhelmed with the surge of unstructured data in their organization and they are struggling to understand how all these petabyte of data can add value to the business.  While many are looking at Hadoop as the core of all the big data efforts, data grows faster in a blink of an eye and dashboards are becoming too complicated for the common user.  Keeping these data is already a huge challenge for data managers and finding someone who can filter the clutter gets more frustrating each day.  Coupled with mixed messages about the big data hype and a small supply of talented data scientists, you begin to wonder if you can still find that ‘sweet spot’ where knowledge and productivity merges.

The Growing Demand for Big Data Workers Continues

The next big thing for data professionals is big data – of interpreting data analytics into actionable insights to help improve customer relationships, products, services and eventually, drive new opportunities.  There is a real demand for this talented workforce, but the supply cannot meet it.  Big organizations often look for talents in-house or train their people to learn on-the-job skills by collaborating with those who are offering training courses.  Nurturing your team with the right toolsets and knowledge is just one solution to getting things done.  There’s also the question of what type of cloud technologies should be used to get the most out of these big data initiatives –  whether to go private or public.  Then, there’s the quality of these services and the security of data gathered.  As you can see, everything’s interconnected.. and a failure of one means a failure of all.

Big Data Challenges: Addressing the Real Issue

The problem that many businesses are struggling with is not just understanding big data – but how to make it work.  They may even be halfway through their big data plans right now.. and are simply clueless on what and why they’re doing it.  A great data analysis doesn’t equate to great execution.  Still, there’s a huge potential on integrating information of any scale, from any source.  This will call for effective management, from top to bottom.  It’s all about integration – of business and IT, of unstructured and traditional enterprise data.  Problem is, when big data experts are called in to help, managers are often left out of the process.  You can’t expect these data scientists to add value without collaborating with those who make front-line decisions.  The two must work hand-in-hand.  There’s no other way.

It is only when business and data experts work together that they will come up with a clear strategy that yields results.  Would you agree?

 

 

  • http://locksmithelmhurst.org/ Elmhurst Locksmiths

    While Hadoop is one of the most useful technologies in big data today, it is vital to understand about its limitations to understand that tools like NoSQL and stream processing are required for processing the real-time data from sources like social media and browsing data.

    • seventhman

      Thanks Elmhurst for sharing your insights on Hadoop. Would you agree if both technologies are better used to complement each other where big data is concerned?