The use of BYOD (‘Bring Your Own Device’ for those new to the term) in business means employees want to print from a mixture of iOS, Windows, macOS, Android and Chrome devices. System administrators know that this can be a nightmare because of the time, resources and technical knowledge needed to support all these devices.
You’re not alone… so we wondered how much easier life would be if you could simply set up printing for all of your users no matter which weird laptop, smartphone, tablet or (heaven forbid) Blackberry they choose. And that’s why we launched Mobility Print earlier this year.
PaperCut’s Mobility Print was developed to make BYOD super-simple to set up, manage and to use.
Our team has been using Google Cloud Datastore extensively as a part of our PaperCut Views product. We have found ourselves needing to migrate data from Datastore to BigQuery periodically so we can analyse them better. Unfortunately, the process of migrating this data is quite painful, as it requires manually exporting and importing the data. Thankfully, now we are using Google Cloud Dataflow to do so.
In this article, I would like to share the problems we had before when we wanted to run a migration and describe how Google Cloud Dataflow now helps us to do it much easier with a few brief examples.