Another Big Data blog, in 2016? Really? Why?

In the time it took you to click on this post and start reading, Google Cloud Platform processed millions of big data analytics events and we’ll process billions more later today. We’re fans of distributed systems and large-scale data processing and we know many of you are too.

In almost every survey we’ve done you have told us you want to hear more about new features as well as what’s under the hood of our cloud services, in detail and in an ongoing way.

Today we’re taking a step in that direction with our first topic-focused blog. We’re starting with big data because we have a lot to share on this subject that we haven’t revealed yet and we know there’s tremendous interest in these technologies.

If debating the merits of the Spark and Dataflow programming models into the wee small hours of the morning is something you could easily find yourself doing; or you get excited at the prospect of processing terabytes in seconds with zero setup for a few bucks, or simply want to learn how to use the infrastructure that powers Google for your data processing work, this blog is for you.

The team contributing to it are engineers, developer advocates, product managers, technical writers, technical program managers and support engineers at Google, and they are eager to share their excitement for these technologies with you. They also want to hear what you’re up to and what you need from us — reach out on Twitter @GCPBigData.

Look forward to sharing stories!