How to kill your Big Data initiative


Everyone is doing Big Data these days. If you don’t work on Big Data projects within your company, you are simply not up to date and don’t know how things work. Big Data solves all of your problems, really!

Well, in reality this is different. It doesn’t solve all your problems. It actually creates more problems then you think! Most companies I saw recently working on Big Data projects failed. They started a Big Data project and successfully wasted thousands of dollars on Big Data projects. But what exactly went wrong?

First of all, Big Data is often only seen as Hadoop. We live with the mis-perception that only Hadoop can solve all Big Data topics. This simply isn’t true. Hadoop can do many things – but real data science is often not done with the core of Hadoop. Ever talked to someone doing the analytics (e.g someone good in math or statistics)?. They are not ok with writing Java Map/Reduce queries or Pig/Hive scripts. They want to work with other tools that are ways more interactive.

The other thing is that most Big Data initiatives are often handled wrong. Most initiatives often simply don’t include someone being good in analytics. One simply doesn’t find this type of person in an IT team – the person has to be found somewhere else. Failing to include someone with this skills often leads to finding “nothing” in the data – because IT staff is good in writing queries – but not in doing complex analytics. These skills are actually not thought in IT classes – it requires a totally different study field to reach this skill set.

Hadoop as the solution to everything for many IT departments. However, projects often stop with implementing Hadoop. Most Hadoop implementations never leave the pilot phase. This is often due to the fact that IT departments see Hadoop as a fun thing to play with – but getting this into production requires a different approach. There are actually more solutions out there that can be done when delivering a Big Data project.

A key to ruining your Big Data project is not involving the LoB. The IT department often doesn’t know what questions to ask. So how can they know the answer and try to find the question? The LoB sees that different. They see an answer – and know what question it would be.

The key to kill your Big Data initiative is exactly one thing: go with the hype. Implement Hadoop and don’t think about what you actually want to achieve with it. Forget the use-case, just go and play with the fancy technology. NOT

As long as companies will stich to that, I am sure I will have enough work to do. I “inherited” several failed projects and turned them into success. So, please continue.

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Published by

Mario Meir-Huber

I work as Big Data Architect for Microsoft. With this role, I support my customers in applying Big Data technologies - mainly Hadoop/Spark - for their use-cases. I also teach this topic at various universities and frequently speak at various Conferences. In 2010 I wrote a book about Cloud Computing, which is often used at German & Austrian Universities. In my home country (Austria) I am part of several organisations on Big Data.

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