Demand of DBA

Apparently I’m not the most valuable writer at The Reg, our wise leadership has crossed sales of adverts with click data to work that out. However, I’m too petty to tell you who is #1 because that is actionable data, since a rational response is a positive feedback loop pushing the parts of your business that make money and fixing or junking parts that don’t.

Talking to Duncan Ross, who evangelises Big Data for Teradata, I discover that the first skill you need to develop is the mindset of working out what would be good to know so that you can use it. Being interesting is necessary but not sufficient.

This illustrates that like most industry buzzwords, “Big” is a cynical spin on what should more often be called “awkward”. A billion rows of normalised data in a well-designed schema might be large, but it's hard to see a big pay packet coming from running an aggregate function like Average on it. To be a lucrative skill there has to be some pain that you can overcome for your patient employer.

Crossing databases can be deliciously hard and that’s why I commend it to you as a skill in which to invest. Easy skills may shine brightly for a while, but market forces (people reading this article and job ads) will drag your price down. This is far more than getting Oracle to coexist with SQL Server using toolsets like DTS, because increasingly a large percentage of your most useful data is in clouds - like BlackLine for accounts or Salesforce for (surprise) sales which can use SQL, as does your in-house HR DB. Be clear that they are each different flavours of SQL, with entities not in any kind of mutually consistent form. Also note that inter-cloud interoperability is still at a laughably primitive stage, so that’s your opening. Part of the joy of integration is that the set multiplies with each system you add to the mix - meaning there is lots of work to be done for which they will pay you.

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