Anyone familiar with building data campaigns?

DatabaseHead

There is a position out there that a co worker wants to talk to me about. It's building campaigns for the product team. Through their business rules, you build SQL queries to meet the needs of the product team. Grabbing users, locations, types of people etc......

Anyone familiar with this type of role?

Can this lead to bigger and better things, my concern is the job could dead end.

NetworkNewb

Sounds like it could lead to a database engineer type role, which by your screen name is right up your alley right?

DatabaseHead

Haha - Yeah right now I am a data guy, working with data warehouse and marts, strong SQL skills (well not according to the MS 70-461 exam) but I am strong. Just looking for a new positions down the road to keep developing my skills. Sounds like some crazy SQL will need to be developed.

Thanks.

beads

Please correct me if I am wrong, here but it sounds a bit more like Big Data Analysis or perhaps this would be the logical extension of this conversation. If so I would wholeheartedly recommend pursuing the conversation.

As far as the Microsoft exams go, any MCSE will tell you its generally understanding what Microsoft wants you to know and how its presented (usually in questionable English) than anything or any way you'd do the same task in the real world.

- b/eads

thomas_

Sounds like data mining if I'm not mistaken.

DatabaseHead

Thanks for replying I realize this isn't really an IT role, more data.

@beads it's very much big data analysis, we are talking a massive claims database, hundred of millions of claims annually, maybe more, I don't really know. It's a massive Teradata warehouse, which in itself is kind of interesting. I've been on the Fully BI stack of MS for 4 years now. It might be advantagous to move into other technologies that are viewed as upper echelon enterprise tools, SAS, Informatica and Teradata. Instead of SSAS, SSIS, SSRS and SSMS.

beads

At one time I did some work for Allant, a big data analytics organization. Much of it was absolutely fascinating talking to the data scientists types. Talking folks with PhD.s in statistics and computer science - if not both. OK, often times you couldn't understand anything past "how's the weather" if the conversation went too far into their work but it was an interesting place to work, while it lasted. Management was really into making classic managerial mistakes.

Big data is one of those fields that is going to quietly keep growing with no end in sight.

I wish you all the success with this one.

- b/eads