I would like to know how long my telemetry data will be stored by IoT Central.
Thanks for every answer in advanced!
The pricing page states that the data retention is 30 days.
https://azure.microsoft.com/en-au/pricing/details/iot-central/
30 days (currently).
The IoT Central quotas and limits is the best location to refer to this information: https://learn.microsoft.com/en-us/azure/iot-central/core/concepts-quotas-limits
Related
I recently come across a term Temperature based data lake , I searched for information about it, but couldn't able to find anything related to it. Could someone please explain what does it means and share any links. Thanks in advance.
When you say temerature based data lake , I am assuming that you are refering to hot and cold tier .
Hot - Optimized for storing data that is accessed frequently.
Cool - Optimized for storing data that is infrequently accessed and stored for at least 30 days.
https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blob-storage-tiers
HTH .
On query below , I can only see data from hours 3 up 8.. all data for other timeframes are missing.
The data is being generated by Azure SQL log analytics configuration where I can't see anything missing.
Any ideas?
Thanks a lot!
I don't think the events are missing for the other times, since you can see the events between time 3 to 8.
You'd better check if there are logs in the other time. Azure log analytics does not abandon your logs.
According to MS support, I'm hitting the daily cap limit and also free tier wasn't available on my region.
Consider my devices are reporting a sensor data to iot hub every 30 seconds.
From my backend node.js server(Which is hosted on AWS) I want to get sensor data such that I can show to my users - current data, today's max, today's min, and weeks data's chart. I am able to get only current sensor data using the device twin. How can get data for last n days?
For n maximum 7 days, see Visual real-time sensor data from Azure IoT Hub using Power BI, where the Stream Analytics Job can be started by your custom datetime.
or you can use the full solution for long-term storage: Azure Time Series Insights.
I am working on a project using Azure Table Storage. I am trying to document the network latency between my webrole and table storage. Does anyone know where I can find some preliminary numbers I could use for estimation?
Thanks
JThomas
Anecdotally, I expect a latency somewhere between 10 and 30 milliseconds if both the VM and the storage account are in the same data center.
It depends on which Gen of Azure Storage your Table entities where created. Here is information for both:
http://blogs.msdn.com/b/windowsazure/archive/2012/11/02/windows-azure-s-flat-network-storage-and-2012-scalability-targets.aspx
It has scalability targets and some network information. Network latency will be variable, but there are ways to mitigate it: place the web role/table storage in the same data center location.
I've been looking at Amazon S3 but no where can I find anything on how long they keep data for if it isn't accessed etc. I therefore assume it's just kept forever, but that seems a bit absurd.
Any ideas? Thanks :)
S3 charges per GB for storage (though not very much). So as long as you are paying, they are storing.
See their pricing chart on the S3 main page.
The expectation is that most people using S3 will be regularly using it for data transfer - this is what Amazon cares about, not the storage itself, which is very cheap. So they make their money on bandwidth (and moreover, on the other services that interface nicely with S3).
Of course, they don't guarantee that your data will always be there. See the SLA for specific information regarding data retention policies.
Disclosure: I am a former AWS employee.
Why does it seem absurd? It's not absurd at all. The data is kept until you delete it.
It's kept as long as you don't delete it and as long as you pay for it of course. This is not a free service :)