This year I've helped a lot of clients with their big data projects, and it's likely that anyone that works in DevOps or even as a regular IT person will have to deal with big data in the coming years. Businesses rely more and more on data analytics to make decisions that wouldn't have been possible before. Whether it's an insurance company adjusting rates based on real time car data streaming in, a security company alerting their agents automatically when something suspicious is detected on one of their many surveillance systems, or even a small business trying to gain more insights from web traffic, big data is everywhere. But before you can deal with big data, you need to know some of the common terms being used, what they refer to, and how they typically apply within the enterprise. This will allow you to successfully engage with the different stakeholders and make sure everyone is on the same page, so projects don't over-promise and under-deliver. Types of data
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