Resource Library

As far as modern architectures go, there are few more complicated than an IoT pipeline. You’ve got to consider an ingestion layer (typically streaming) that may undergo manic load. You’ve got to think of data tagging, storage (probably across multiple engines), archival and access—both internal and external. And all of it has to scale like crazy, be as cost effective as possible, and use automation wherever it can. Oh, and your boss needs the IoT pipeline built by tomorrow. Short timelines? Tight budget? Unrealistic expectations? Unfortunately, these asks are realities for many cloud professionals. AWS knows this and is here to help.  

Yes, there’s big money in AWS Certification, which tends to outpace other cloud certification salaries, but there’s more to the cloud than dollars and cents.

It’s been about 10 years since public cloud offerings like AWS opened up the world of big data analytics. This post examines the top five most useful architectures used for big data stacks to learn the sweet spots of each.