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Re:Giving meaning to 100B analytics events a day with Kafka,... by GrandNewbien on Wednesday April 18, 2018 @11:53PM (#16873213)
Could you elaborate? There's plenty of big data tasks and roles that aren't even closely related to marketing.
Re:Giving meaning to 100B analytics events a day with Kafka,... by beepbeepbeep1 on Thursday April 19, 2018 @01:29AM (#16873541)
Not my experince. I'd say the majority of big data is unethical both in capture and use trying to sell you something or sell someone else something on you, a small amount is for general good.

I wasn't involved on the project but a major Telecoms company i was at was prototyping scanning for mobile devices on their provided home routers. If they didn't recognise a mibile as being on their network they would then target you with mobile deals. Devs saw the issues with this, essentially scanning your home network from their routers and sending the data back to be processed. Managers found Apple's mac address rotation annoying and lost the point why Apple do it.

Unfortunately besides quitting the job devs on the project don't have a say as they don't have the power or say in the final decisions at these companies. It's easy to say you would quit but it's harder when you have a mortgage, wife and kids for example.

Re:Giving meaning to 100B analytics events a day with Kafka,... by manigandham on Thursday April 19, 2018 @02:04PM (#16878347)
The vast majority of big data is used today to provide everything you depend on, like email, healthcare, banking, transportation, government services, etc.
Re:Giving meaning to 100B analytics events a day with Kafka,... by amorphid on Thursday April 19, 2018 @04:50AM (#16874323)
Maybe you'd find Amino interesting. They use big data for healthcare savings.

https://amino.com

Re:Giving meaning to 100B analytics events a day with Kafka,... by maxnevermind on Thursday April 19, 2018 @04:09AM (#16874177)
Maybe it's different in the states, because a lot of tech giants are based there. But in Europe, I feel like, there are banks that inherently have a lot of data and they can use BigData stack for ETL and other stuff, and there is the rest who just want to get some data on users and sell them some products they don't really want, it's not necessary an advisement company by itself, it can be an analytical platform or just a department in some big e-store.