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The way to do this is to get them to load only the variables they need to analyze from the dataset in Stata’s memory space and not to blindly bring the entire dataset into memory. It is also easy to train your Stata users to use memory efficiently. The easiest way around this is to use the Cloud the way it was designed-spool up multiple virtual computers to scale the load. The most frequent issue I hear about people using Stata on the Cloud is that users sometimes compete for RAM because several users are trying to load large datasets into RAM at the same time on the same computer. Or you could allocate two Cloud machines with 8 GB of RAM each. If the users are each working with a Stata dataset 5 GB in size, you will need at least 16 GB of RAM allocated to the Cloud machine, 10 GB of RAM for the data in memory and a bit more for overhead for the operating system to run. Or you will want to spin up multiple cloud instances, giving users their own virtual machines. For example, if you have a Stata/MP 4-core 2-user license, you will want to have a Cloud machine with at least 8 cores allocated to it, 4 cores for each Stata user. Once your Cloud (or on-premises) machine has multiple users using Stata simultaneously, you must make sure you have a big enough machine with enough memory and cores for all the users. Note that these questions aren’t Cloud specific and really apply to any setup, Cloud or on-premises, where resources are shared between users. How many users will be accessing this Cloud virtual machine at the same time?.How many cores and how much memory are you going to allocate in the Cloud?.What is the typical size of data your organization will be working with?.What operating system are you or your users comfortable using?.Some questions you will need to answer are these: The best setup largely depends on your specific needs. Question three is a little harder to answer.
#Stata mp 10 license
Your Stata license is yours to use on any computer you wish-real, virtual, or virtual on the Cloud. We draw no distinction between a workstation or server on-premises, a virtual machine on-premises, and an equivalent virtual machine on the Cloud. Users often ask if they are allowed to use their Stata license on the Cloud. To see a list of all commands that have been sped up and by how much, see the Stata/MP Performance Report. Now, which flavor of Stata should you use, IC, SE, or MP? I definitely recommend using Stata/MP on the Cloud if you are working with large datasets and the Stata commands you wish to use are highly parallelized.
#Stata mp 10 windows
Most cloud computers are virtual machines running Linux or Windows operating systems, and Stata runs on both. So, can Stata run on the Cloud? Yes, Stata can. There are other platforms, but these are the main platforms I hear questions about. The main two platforms I see our users using are Amazon Web Services and Microsoft Azure. Basically, you pay for hardware resources only when you need them, which saves time and money and allows you to scale different projects accordingly. What’s nice about cloud services is that they provide an easy way to add resources on demand. The main reason I see our users use cloud computing is so they can easily add more computing resources (memory and cores) to projects they are working on to speed up development and analytics. The term is generally used to describe data centers available to many users over the Internet.”
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“Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. Wikipedia defines cloud computing as the following:
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Am I allowed to run my copy of Stata in the Cloud?.As more organizations move their IT, data management, and data analysis needs to the Cloud, I often have to answer these questions: